Breast lump, a rare presentation of costochondral junction tuberculosis: a case report (2009)
Jain, Sanjay, Shrivastava, Adesh, Chandra, Dinesh
Abstract The diagnosis of musculoskeletal tuberculosis remains a challenge for clinicians and requires a high index of suspicion. The combination of indolent onset of symptom and signs with...
Iterative Learning from Texts and Counterexamples Using Additional Information (2009)
A variant of iterative learning in the limit is studied when a learner gets negative examples refuting conjectures containing data in excess of the target language and uses additional information of...
Index Sets and Universal Numberings (2009)
JAIN, Sanjay, STEPHAN, Frank, TEUTSH, Jason
This paper studies the Turing degrees of various properties defined for universal numberings, that is, for numberings which list all partial-recursive functions. In particular properties relating to...
Index Sets and Universal Numberings (2009)
JAIN, Sanjay, STEPHAN, Frank, TEUTSH, Jason
This paper studies the Turing degrees of various properties defined for universal numberings, that is, for numberings which list all partial-recursive functions. In particular properties relating to...
Index Sets and Universal Numberings (2009)
JAIN, Sanjay, STEPHAN, Frank, TEUTSCH, Jason
This paper studies the Turing degrees of various properties defined for universal numberings, that is, for numberings which list all partial-recursive functions. In particular properties relating to...
Mitotic Classes in Inductive Inference (2009)
Abstract. For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in the case of...
Andris Ambainis, Mandayam Suraj, Sanjay Jain
Freivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and “nearly” minimal...
Manufacturing Systems Integration Division, (2009)
S. G. Henderson, B. Biller, J. Shortle, J. D. Tew, R. R. Barton, ...
The need for interoperability of information systems among supply chain partners has been recognized. A number of standards have been or are being developed to ensure interoperability of applications...
Uncountable Automatic Classes and Learning (2009)
JAIN, Sanjay, LUO, Qinglong, SEMUKHIN, Pavel, STEPHAN, Frank
In this paper we consider uncountable classes recognizable by omega-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vacillatory and...
Chapter 1 A TOUR OF ROBUST LEARNING (2009)
Abstract Bārzdiņˇs conjectured that only recursively enumerable classes of functions can be learned robustly. This conjecture, which was finally refuted by Fulk, initiated the study of notions of...
IOS Press The Intrinsic Complexity of Learning: A Survey (2009)
Abstract. The theory of learning in the limit has been a focus of study by several researchers over the last three decades. There have been several suggestions on how to measure the complexity or...
Learnability of Automatic Classes (2009)
JAIN, Sanjay, LUO, Qinglong, STEPHAN, Frank
The present work initiates the study of the learnability of automatic indexable classes which are classes of regular languages of a certain form. It is characterised which of these classes are...
Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi C
A mere bounded number of random bits judiciously employed by a probabilistically correct algorithmic coordinator is shown to increase the power of learning to coordinate compared to deterministic...
Forthcoming, American Journal of Sociology (2008)
Walter W. Powell, Douglas R. White, Kenneth W. Koput, Jason Owen-smith, Michael Heaney, Sanjay Jain, ...
where these ideas were initially discussed and much of the work was done. We are especially grateful to John Padgett, organizer of the States and Markets group at SFI for his support and insights. We...
A Survey of Robust Learning (2008)
Abstract. A class of objects is said to be robustly learnable if not only this class itself is learnable but all of its computable “transformations” are also learnable. We study robust learning...
The paper is a survey of recent results on algorithmic learning (inductive inference) of languages from full collection of positive examples and some negative data. Different types of negative data...
STRESS TESTING A SUPPLY CHAIN USING SIMULATION (2008)
M. E. Kuhl, N. M. Steiger, F. B. Armstrong, J. A. Joines, Sanjay Jain
Simulation provides the capability to evaluate performance of a system operating under current or proposed configurations, policies and procedures. It is very applicable to evaluation of strategic...
INTEGRATED SIMULATION AND GAMING ARCHITECTURE FOR INCIDENT MANAGEMENT TRAINING (2008)
M. E. Kuhl, N. M. Steiger, F. B. Armstrong, J. A. Joines, Sanjay Jain
The simulation-based training systems that are available or under development today for incident management are typically focused on macro level sequence of events. A few systems targeted at...
Not-So-Nearly-Minimal-Size Program Inference ∗ (Preliminary Report) (2008)
Freivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and “nearly ” minimal...
Barik, Rakesh, Jain, Sanjay, Qwatra, Deep, Joshi, Amit, Tripathi, Girraj Sharan, Goyal, Ravi
Objective: To evaluate the antidiabetic activity of aqueous extract of roots of in streptozotocin-nicotinamide induced type-II diabetes in rats. Materials and Methods: Streptozotocin-nicotinamide...
Numberings Optimal for Learning (2008)
This paper extends previous studies on learnability in non-acceptable numberings by considering the question: for which criteria which numberings are optimal, that is, for which numberings it holds...
Abstract. For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in the case of...
COMPLEX ADAPTIVE SYSTEMS: SOME RESEARCH ISSUES (2008)
The most complex systems known to us, e.g., living systems, brains, ecologies and human societies, seem to share certain common properties. All these systems are highly nonequilibrium systems,...
Prescribed Learning of Indexed Families (2008)
Sanjay Jain, Frank Stephan, Nan Ye
Abstract. This work extends studies of Angluin, Lange and Zeugmann on how learnability of a language class depends on the hypothesis space used by the learner. While previous studies mainly focused...
On a generalized notion of mistake bounds (2008)
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake bound model to...
Costs of general purpose learning (2008)
Keh-jiann Chen, Sanjay Jain, Academica Sinica
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc ∗-identification). His machine, on the successive graph...
Sanjay Jain, Jochen Nessel, Frank Stephan
Abstract. This paper considers when one can invert general recursive operators which map a class of functions F to F. In this regard, we study four different notions of inversion. We additionally...
Learning a Subclass of Regular Patterns in Polynomial Time (2008)
Sanjay Jain, Rüdiger Reischuk, Frank Stephan, Thomas Zeugmann
Abstract. Presented is an algorithm (for learning a subclass of erasing regular pattern languages) which can be made to run with arbitrarily high probability of success on extended regular languages...
Input-Dependence in Function-Learning (2008)
Sanjay Jain, Eric Martin, Frank Stephan
Abstract. In the standard literature on inductive inference, a learner sees as input the course of values of the function to be learned. In the present work, it is investigated how reasonable this...
Language Learning With Some Negative Information 1 (2008)
Gold–style language learning is a formal theory of learning from examples by algorithmic devices called learning machines. Originally motivated by child language learning, it features the...
Some Recent Results in U-Shaped Learning (2008)
Abstract. U-shaped learning deals with a learner first having the correct hypothesis, then changing it to an incorrect hypothesis and then relearning the correct hypothesis. This phenomenon has been...
STRESS TESTING A SUPPLY CHAIN USING SIMULATION (2008)
M. E. Kuhl, N. M. Steiger, F. B. Armstrong, J. A. Joines, Sanjay Jain
Simulation provides the capability to evaluate performance of a system operating under current or proposed configurations, policies and procedures. It is very applicable to evaluation of strategic...
Sanjay Jain, Arun Sharma, Frank Stephan, Matthias Ott
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system related tasks, also...
Team Learning of Computable Languages (2008)
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined size, of the team...
Absolute versus probabilistic classification in (2008)
Sanjay Jain, Eric Martin, Frank Stephan
a logical setting
Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher (2008)
The presence of an "infinitely-often correct teacher " in scientific inference and language acquisition is motivated and studied. The treatment is abstract. In the practice of...
On a Question of Nearly Minimal Identification of Functions (2008)
Suppose A and B are classes of recursive functions. A is said to be an m-cover (∗-cover) for B, iff for each g ∈ B, there exsits an f ∈ A such that f differs from g on at most m inputs...
Minimal Concept Identification and Reliability (2008)
Identification, by algorithmic devices, of grammars for languages from positive data is a well studied problem. In this paper we are mainly concerned about the learnability of indexed families of...
Learning in Friedberg Numberings (2008)
Abstract. In this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar equivalence...
Results on Memory-Limited U-Shaped Learning (2008)
Lorenzo Carlucci, Sanjay Jain, Frank Stephan
Abstract. U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psychologists,...
Results on Memory-Limited U-Shaped Learning (2008)
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psychologists, for...
Branch and Bound on the Network Model (2008)
Karp and Zhang developed a general randomized parallel algorithm for solving branch and bound problems. They showed that with high probability their algorithm attained optimal speedup within a...
Sanjay Jain, Rolf Wiehagen, Carl Smith
Intuitively, a class of objects is robustly learnable if not only this class itself is learnable but all of its computable transformations remain learnable as well. In that sense, being learnable...
IDENTIFYING CLUSTERS FROM POSITIVE DATA ∗ (2008)
John Case, Sanjay Jain, Eric Martin, Arun Sharma
FRANK STEPHAN � Abstract. The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given...
Anomalous Learning Helps Succinctness 1 (2008)
It is shown that allowing a bounded number of anomalies (mistakes) in the final programs learned by an algorithmic procedure can considerably “succinctify ” those final programs. Naturally, only...
Learning correction grammars (2008)
Abstract. We investigate a new paradigm in the context of learning in the limit, namely, learning correction grammars for classes of r.e. languages. Knowing a language may feature a representation of...
Sanjay Jain, Rolf Wiehagen, Efim Kinber
This paper deals with two problems: 1) what makes languages to be learnable in the limit by natural strategies of varying hardness; 2) what makes classes of languages to be the hardest ones to learn....
Learning by switching type of information (2008)
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the learner alternatingly...
Some Results on U-shaped, Vacillatory and Team Learning (2008)
Lorenzo Carlucci, Sanjay Jain, Frank Stephan
Abstract. U-shaped learning behaviour in cognitive development involves learning, unlearning and relearning. It occurs, for example, in learning irregular verbs. The prior cognitive science...
Abstract Background Elucidating the architecture and dynamics of large scale genetic regulatory networks of cells is an important goal in systems biology. We study the system level dynamical...
DEVELOPMENT OF A HIGH-LEVEL SUPPLY CHAIN SIMULATION MODEL (2008)
B. A. Peters, J. S. Smith, D. J. Medeiros, M. W. Rohrer, Sanjay Jain
This paper describes an effort that involved development of a simulation model for evaluating the business processes and inventory control parameters of a logistics and distribution supply chain. A...
Proceedings of the 2002 Winter Simulation Conference (2008)
E. Yücesan, J. L. Snowdon, J. M. Charnes, Sanjay Jain
MODELING COMPUTER ASSEMBLY OPERATIONS FOR SUPPLY CHAIN INTEGRATION Factory operations have been modeled for years to understand the relationship between the different design and policy factors and...
ANALYZING THE SUPPLY CHAIN FOR A LARGE LOGISTICS OPERATION USING SIMULATION (2008)
B. A. Peters, J. S. Smith, D. J. Medeiros, M. W. Rohrer, Sanjay Jain, Russell W. Workman
This paper presents a case study of using simulation for analyzing the impact of proposed changes in the supply chain processes for a large logistics operation. The major changes explored include...
An Architecture for Integrated Modeling and Simulation for Emergency Response (2008)
Sanjay Jain, Charles R. Mclean
A number of modeling and simulation applications exist for studying individual aspects of emergency response scenarios. The value of these applications can be significantly increased if they can be...
Counting Extensional Differences in BC-Learning \Lambda (2008)
University of Heidelberg Sebastiaan A. Terwijn x Vrije Universiteit Amsterdam
A FRAMEWORK FOR MODELING AND SIMULATION FOR EMERGENCY RESPONSE (2008)
S. Chick, P. J. Sánchez, D. Ferrin, D. J. Morrice, Sanjay Jain
A number of modeling and simulation tools have been developed and more are being developed for emergency response applications. The available simulation tools are meant mostly for standalone use....
BMC Systems Biology BioMed Central (2008)
Research article The regulatory network of E. coli metabolism as a Boolean dynamical system exhibits both homeostasis and flexibility of response
Lance Fortnow, William Gasarch, Sanjay Jain, Efim Kinber, Martin Kummer, ...
IBM Corporation
Team Learning of Formal Languages (2007)
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined size, of the team...
Learning Concepts Incrementally With Bounded Data Mining (2007)
John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann
Important refinements of incremental concept learning from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Absence of Initial Singularities in Superstring Cosmology (2007)
In a universe whose elementary constituents are point particles there does not seem to be any obvious mechanism for avoiding the initial singularities in physical quantities in the standard model of...
Harnessing Parallelism in a Parallel Discrete-Event Simulation (2007)
Chu-cheow Lim, Yoke-hean Low, Boon-ping Gan, Sanjay Jain, Stephen J. Turner, ...
This paper looks at a parallel discrete-event simulation of wafer fabrication models. This is an irregular computation because when events are sent from one logical process (LP) to another, the...
Learning From Context Without Coding-Tricks (2007)
John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system additional related tasks,...
Control Structures in Hypothesis Spaces: The Influence on Learning (2007)
John Case, Sanjay Jain, Mandayam Suraj
. In any learnability setting, hypotheses are conjectured from some hypothesis space. Studied herein are the effects on learnability of the presence or absence of certain control structures in the...
On the Intrinsic Complexity of Language Identi cation (2007)
Anewinvestigation of the complexity of language identi cation is undertaken using the notion of reduction from recursion theory and complexity theory. The approach, referred to as the intrinsic...
Computational Limits on Team Identi cation of Languages (2007)
A team of learning machines is essentially a multiset of learning machines. A team is said to successfully identify a concept just in case each member of some nonempty subset of the team identi es...
Proceedings of the 2000 Winter Simulation Conference (2007)
J. A. Joines, R. R. Barton, K. Kang, P. A. Fishwick, Boon Ping Gan, Li Liu, ...
The effective practice of supply chain management (SCM) is crucial to improve corporations ’ competitive advantage. Many corporations have built simulation models to facilitate the application of...
Timothy J. Besley, Sanjay Jain, Charalambos Tsangarides
Version 3.1? Background paper prepared for World Development Report 2001/2002: Institutions for Markets. For helpful discussions, and help with the data, we are grateful to Arup Banerji, Roumeen...
Refutable Inductive Inference of Recursive Functions (2007)
S. Jain, E. Kinber, R. Wiehagen, T. Zeugmann, Serie A, Sanjay Jain, ...
Learning of recursive functions refutably informally means that for every recursive function, the learning machine has either to learn this function or to refute it, that is to signal that it is not...
Learning How to Separate (2007)
The main question addressed in the present work is how to find e#ectively a recursive function separating two sets drawn arbitrarily from a given collection of disjoint sets. In particular, it is...
Inescapable Deficiencies In, K-j. Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer
This paper investigates some delicate tradeoffs between the generality of an algorithmic learning device and the quality of the programs it learns successfully. There are results to the effect that,...
John Case, Sanjay Jain, Franco Montagna, Giulia Simi, Andrea Sorbi
A mere bounded number of random bits judiciously employed by a probabilistically correct algorithmic coordinator is shown to increase the power of learning to coordinate compared to deterministic...
Parsimony Hierarchies for Inductive Inference (2007)
Andris Ambainis, John Case, S. Jain, M. Suraj, Sanjay Jain, Mandayam Suraj
Freivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and "nearly"...
Counting Extensional Differences in BC-Learning (2007)
Sanjay Jain, Frank Stephan, Sebastiaan A. Terwijn
Let BC be the model of behaviourally correct function learning as introduced by Barzdins [4] and Case and Smith [8]. We introduce a mind change hierarchy for BC, counting the number of extensional...
Learning by Switching Type of Information (2007)
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the learner alternatingly...
A Tour of Robust Learning (2007)
Barzdins conjectured that only recursively enumerable classes of functions can be learned robustly. This conjecture, which was nally refuted by Fulk, initiated the study of notions of robust...
Proceedings of the 2002 Winter Simulation Conference (2007)
E. Yücesan, J. L. Snowdon, J. M. Charnes, Jerry Banks, Sanjay Jain
PANEL SESSION: OPPORTUNITIES FOR SIMULATION IN SUPPLY CHAIN MANAGEMENT It has become a matter of survival that many companies improve their supply chain efficiency. This presents an opportunity for...
Learning in Friedberg Numberings (2007)
In this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar equivalence problem...
Prescribed Learning of R.E. Classes (2007)
JAIN, Sanjay, STEPHAN, Frank, YE, Nan
This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniformly recursively enumerable...
Prescribed Learning of Indexed Families (2007)
JAIN, Sanjay, STEPHAN, Frank, YE, Nan
This work extends studies of Angluin, Lange and Zeugmann on how learnability of a language class depends on the hypotheses space used by the learner. While previous studies mainly focused on the case...
We highlight the emerging role of technology transfer offices as institutional entrepreneurs involved in building legitimacy for novel technologies. To illustrate this role, we carry out an in-depth...
For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in the case of learnable...
Diversity Begets Stability in an Evolving Network (2007)
Mehrotra, Ravi, Soni, Vikram, Jain, Sanjay
Complex evolving systems such as the biosphere, ecosystems and societies exhibit sudden collapses, for reasons that are only partially understood. Here we study this phenomenon using a mathematical...
Elucidating the architecture and dynamics of large scale genetic regulatory networks of cells is an important goal in systems biology. We study the system level dynamical properties of the genetic...
Consistent and Conservative Iterative Learning (2007)
JAIN, Sanjay, LANGE, Steffen, ZILLES, Sandra
The present study aims at insights into the nature of incremental learning in the context of Gold's model of identification in the limit. With a focus on natural requirements such as consistency and...
One-shot Learners Using Negative Counterexamples and Nearest Positive Examples (2007)
As some cognitive research suggests, in the process of learning languages, in addition to overt explicit negative evidence, a child often receives covert explicit evidence in form of corrected or...
A conceptual framework for supply chain modelling and simulation (2007)
Modelling and simulation can be used for a wide range of supply chain management applications, but the models usually have to be custom developed with large effort. There is a need for an organised...
A conceptual framework for supply chain modelling and simulation (2007)
Modelling and simulation can be used for a wide range of supply chain management applications, but the models usually have to be custom developed with large effort. There is a need for an organised...
Strong Monotonic and Set Driven Inductive Inference (2007)
In an earlier paper, Kinber and Stephan posed an open problem about whether every class of languages, which can be identified strong monotonically, can also be identified by a setdriven machine. We...
Some Independence Results for Control Structures in Complete Numberings (2007)
Acceptable programming systems have many nice properties like s-m-n-Theorem, Composition and Kleene Recursion Theorem. Those properties are sometimes called control structures, to emphasize that they...
One-shot Learners Using Negative Counterexamples and Nearest Positive Examples (2007)
Sanjay Jain, Efim Kinber, Jaffar Joxan, Sanjay Jain A, Efim Kinber B
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
2 Supported in part by ONR grants N00014-87-K-0401 and N00014-89-J-1725. (2007)
Mark Fulk, Sanjay Jain, Daniel N. Osherson
In this paper we solve some of the open problems in [19]. We also give partial solutions to some other open problems in the book. In particular we show that the collection of classes of languages...
Approximate Inference and Scientific Method 1 (2007)
CCR 8320136 to the University of Rochester. A new identification criterion, motivated by notions of successively improving approximations in the philosophy of science, is defined. It is shown that...
Sanjay Jain, Arun Sharma, Mahendran Velauthapillai
Finite identification of functions by teams with success ratio 1
Sanjay Jain, Frank Stephan, Jaffar Joxan, Sanjay Jain, Frank Stephan
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Learning Correction Grammars (2006)
CARLUCCI, Lorenzo, CASE, John, JAIN, Sanjay
We investigate a new paradigm in the context of learning in the limit, namely, learning correction grammars for classes of r.e. languages. Knowing a language may feature a representation of the...
Absolute versus probabilistic classification in a logical setting (2006)
JAIN, Sanjay, MARTIN, Eric, STEPHAN, Frank
Given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula phi, we consider the classification problem of determining in the limit...
Iterative Learning from Positive Data and Negative Counterexamples (2006)
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher (oracle) if it is a...
Iterative Learning from Positive Data and Negative Counterexamples (2006)
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher (oracle) if it is a...
Samal, Areejit, Singh, Shalini, Giri, Varun, Krishna, Sandeep, Raghuram, Nandula, Jain, Sanjay
Abstract Background Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes and reactions...
An Integrating Framework for Modeling and Simulation for Incident Management (2006)
Jain, Sanjay, McLean, Charles R
A number of modeling and simulation tools have been developed and more are being developed for incident management applications. Each of these tools has focused on a specific aspect of the selected...
An Integrating Framework for Modeling and Simulation for Incident Management (2006)
Jain, Sanjay, McLean, Charles R
A number of modeling and simulation tools have been developed and more are being developed for incident management applications. Each of these tools has focused on a specific aspect of the selected...
An Integrating Framework for Modeling and Simulation for Incident Management (2006)
Jain, Sanjay, McLean, Charles R
A number of modeling and simulation tools have been developed and more are being developed for incident management applications. Each of these tools has focused on a specific aspect of the selected...
An Integrating Framework for Modeling and Simulation for Incident Management (2006)
Jain, Sanjay, McLean, Charles R
A number of modeling and simulation tools have been developed and more are being developed for incident management applications. Each of these tools has focused on a specific aspect of the selected...
Cathy K. Naughton, Sanjay Jain, Amy M. Strickland, Akshay Gupta, Jeffrey Milbrandt
Normal spermatogenesis is essential for reproduction and depends on proper spermatogonial stem cell (SSC) function. Genes and signaling pathways that regulate SSC function have not been well defined....
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
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Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
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Learning a subclass of regular patterns in polynomial time (2006)
Case, John, Jain, Sanjay, Reischuk, Rüdiger, Stephan, Frank, Zeugmanne, Thomas
An algorithm for learning a subclass of erasing regular pattern languages is presented. On extended regular pattern languages generated by patterns π of the form xoaıxı…amxm, where xo,…,xm are...
Learning a subclass of regular patterns in polynomial time (2006)
Case, John, Jain, Sanjay, Reischuk, Rüdiger, Stephan, Frank, Zeugmanne, Thomas
An algorithm for learning a subclass of erasing regular pattern languages is presented. On extended regular pattern languages generated by patterns π of the form xoaıxı…amxm, where xo,…,xm are...
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Generality’s price: Inescapable deficiencies in machine-learned programs (2006)
Keh-jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer
This paper investigates some delicate tradeoffs between the generality of an algorithmic learning device and the quality of the programs it learns successfully. There are results to the effect that,...
Absolute versus probabilistic classification (2006)
Sanjay Jain, Eric Martin, Frank Stephan, Sanjay Jain, Eric Martin, Frank Stephan
in a logical setting
Consistent and Conservative Iterative Learning (2006)
Sanjay Jain, Steffen Lange, Ra Zilles, Jaffar Joxan, Sanjay Jain A, Steffen Lange B, ...
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Generality’s price: Inescapable deficiencies in machine-learned programs (2006)
K-j. Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer
Abstract. This paper investigates some delicate tradeoffs between the generality of an algorithmic learning device and the quality of the programs it learns successfully. There are results to the...
A Concept prototype for integrated gaming and simulation for incident management (2006)
This paper describes a prototype that has been developed to demonstrate the concept of integrated gaming and simulation for incident management. An architecture for the purpose was developed and...
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
-
Critical and distinct roles for key RET tyrosine docking sites in renal development (2006)
Jain, Sanjay, Encinas, Mario, Johnson, Eugene M., Milbrandt, Jeffrey
Molecular mechanisms that lead to congenital anomalies of kidneys and the lower urinary tract (CAKUT) are poorly understood. To elucidate the molecular basis for signaling specificity of...
Identifying Clusters from Positive Data (2006)
Case, John, Jain, Sanjay, Martin, Eric, Sharma, Arun, Stephan, Frank
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JAIN, Sanjay, NESSEL, Jochen, STEPHAN, Frank
In this paper we consider how and when general recursive operators can be inverted. This is motivated by the fact that in many situations in real life, one is interested in finding causes from the...
Memory-Limited U-Shaped Learning (2005)
CARLUCCI, Lorenzo, CASE, John, JAIN, Sanjay, STEPHAN, Frank
U-shaped learning is a learning behaviour in which the learner first learns something, then unlearns it and finally relearns it. Such a behaviour, observed by psychologists, for example, in the...
Some Recent Results in U-Shaped Learning (2005)
U-shaped learning deals with a learner first having the correct hypothesis, then changing it to an incorrect hypothesis and then relearning the correct hypothesis. This phenomenon has been observed...
On Learning Languages from Positive Data and a Limited Number of Short Counterexamples (2005)
We consider two variants of a model for learning languages in the limit from positive data and a limited number of short negative counterexamples (counterexamples are considered to be short if they...
Variations on U-shaped Learning (2005)
CARLUCCI, Lorenzo, JAIN, Sanjay, KINBER, Efim, STEPHAN, Frank
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of learning? Returning to wrong conjectures complements the paradigm of U-shaped learning...
Samal, Areejit, Singh, Shalini, Giri, Varun, Krishna, Sandeep, Raghuram, N., Jain, Sanjay
Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes and reactions that are essential...
Evidence of a universal power law characterizing the evolution of metabolic networks (2005)
Samal, Areejit, Giri, Varun, Krishna, Sandeep, Raghuram, N., Jain, Sanjay
Metabolic networks are known to be scale free but the evolutionary origin of this structural property is not clearly understood. One way of studying the dynamical process is to compare the metabolic...
Variations on U-shaped learning (2005)
Lorenzo Carlucci, Sanjay Jain, Efim Kinber C, Frank Stephan D
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements the paradigm of...
TR51/05 Memory-Limited U-Shaped Learning (2005)
Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan, Jaffar Joxan, Lorenzo Carlucci, ...
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Charles R. Mclean, Sanjay Jain, Y. Tina Lee, Frank Riddick, Charles R. Mclean, Sanjay Jain, ...
for Manufacturing Research, Testing,
Sanjay Jain, Jochen Nessel, Frank Stephan, Sanjay Jain, Jochen Nessel, Frank Stephan
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Some Recent Results in U-Shaped Learning (2005)
Sanjay Jain, Frank Stephan, Sanjay Jain, Frank Stephan
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Walter W. Powell, Douglas R. White, Kenneth W. Koput, Jason Owen-smith, Tim Bresnahan, Paul David, ...
where these ideas were initially discussed and much of the work was done. We are especially grateful to John Padgett, organizer of the States and Markets group at SFI for his support and insights. We...
TRA8/05 Variations on U-shaped Learning (2005)
Lorenzo Carlucci, Sanjay Jain, Efim Kinber, Frank Stephan, Frank Stephan D
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
Identifying Clusters from Positive Data (2004)
John CASE, Sanjay JAIN, Eric MARTIN, Arun SHARMA, Frank STEPHAN
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a numbering A0,A1,... of...
Learning Languages from Positive Data and Negative Counterexamples (2004)
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the conjectures made by...
Learning Language from Positive Data and Finite Number of Queries (2004)
A computational model for learning languages in the limit from full positive data and a bounded number of queries to the teacher (oracle) is introduced and explored. Equivalence, superset, and subset...
Parsimony hierarchies for inductive inference (2004)
Ambainis, Andris, Case, John, Jain, Sanjay, Suraj, Mandayam
Freivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and “nearly” minimal...
TECHNOLOGY ADMINISTRATION (2004)
Shigeki Umeda, Sanjay Jain, Shigeki Umeda, Sanjay Jain, Donald L. Evans, Phillip J. Bond, ...
Abstract: This paper describes requirements for an integrated supply chain system simulator with the focus on production activities within the system. This paper includes the following contents: (1)...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan, Lorenzo Carlucci A, Sanjay Jain C, ...
tutorial article, which has been submitted for publication in a journal or for consideration by the commissioning organization. The report represents the ideas of its author, and should not be taken...
A Framework For Modeling And Simulation For Emergency Response (2003)
S. Chick, P. J. Sánchez, D. Ferrin, D. J. Morrice, Sanjay Jain
A number of modeling and simulation tools have been developed and more are being developed for emergency response applications. The available simulation tools are meant mostly for standalone use....
An Analysis of the Impact of Social Factors on Purchase Behavior (2002)
Amaldoss, Wilfred, Jain, Sanjay
Consumers purchase conspicuous goods to satisfy not just material needs but also social needs such as prestige. In an attempt to meet these social needs, marketing managers of conspicuous goods like...
An Analysis of the Impact of Social Factors on Purchase Behavior (2002)
Amaldoss, Wilfred, Jain, Sanjay
Consumers purchase conspicuous goods to satisfy not just material needs but also social needs such as prestige. In an attempt to meet these social needs, marketing managers of conspicuous goods like...
An Analysis of the Impact of Social Factors on Purchase Behavior (2002)
Amaldoss, Wilfred, Jain, Sanjay
Consumers purchase conspicuous goods to satisfy not just material needs but also social needs such as prestige. In an attempt to meet these social needs, marketing managers of conspicuous goods like...
An Analysis of the Impact of Social Factors on Purchase Behavior (2002)
Amaldoss, Wilfred, Jain, Sanjay
Consumers purchase conspicuous goods to satisfy not just material needs but also social needs such as prestige. In an attempt to meet these social needs, marketing managers of conspicuous goods like...
Graph Theory and the Evolution of Autocatalytic Networks (2002)
Jain, Sanjay, Krishna, Sandeep
We give a self-contained introduction to the theory of directed graphs, leading up to the relationship between the Perron-Frobenius eigenvectors of a graph and its autocatalytic sets. Then we discuss...
Large extinctions in an evolutionary model: The role of innovation and keystone species (2002)
Jain, Sanjay, Krishna, Sandeep
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
Crashes, recoveries, and ‘‘core shifts’’ in a model of evolving networks (2002)
Jain, Sanjay, Krishna, Sandeep
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Crashes, recoveries, and ‘‘core shifts’’ in a model of evolving networks (2002)
Jain, Sanjay, Krishna, Sandeep
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Crashes, recoveries, and ‘‘core shifts’’ in a model of evolving networks (2002)
Jain, Sanjay, Krishna, Sandeep
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Crashes, recoveries, and ‘‘core shifts’’ in a model of evolving networks (2002)
Jain, Sanjay, Krishna, Sandeep
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Large extinctions in an evolutionary model: The role of innovation and keystone species (2002)
Jain, Sanjay, Krishna, Sandeep
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
Sanjay Jain, Frank Stephan, Nan Ye
Abstract. This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniformly recursively...
Raghu Garud, Sanjay Jain, Arun Kumaraswamy
Forthcomign in AMJ * The alphabetical ordering of authorship reflects the fully collaborative nature of this work. We thank Sun Microsystems for their help with the Java case. We also gratefully...
Classes with easily learnable subclasses (2002)
Sanjay Jain, Wolfram Menzel, Frank Stephan
It is well-known that infinite recursively enumerable sets have infinite recursive subsets. Similarly, one can study the relation between identifiable classes and subclasses which are identifiable...
Crashes, Recoveries, and `Core-shifts' in a Model of Evolving Networks (2001)
Jain, Sanjay, Krishna, Sandeep
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Large extinctions in an evolutionary model: The role of innovation and keystone species (2001)
Jain, Sanjay, Krishna, Sandeep
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
A model for the emergence of cooperation, interdependence, and structure in evolving networks (2001)
Jain, Sanjay, Krishna, Sandeep
Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized...
A model for the emergence of cooperation, interdependence, and structure in evolving networks (2001)
Jain, Sanjay, Krishna, Sandeep
Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized...
A process framework for understanding the emergence of collective compatibility standards / (2001)
Typescript.
On the learnability of recursively enumerable languages from good examples (2001)
Sanjay Jain, Steffen Lange, Jochen Nessel
The present paper investigates identification of indexed families of recursively enumerable languages from good examples. In the context of class preserving learning from good text examples, it is...
Predictive Learning Models for Concept Drift (2001)
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the concept shifts may not...
Costs of General Purpose Learning (2001)
John Case, Keh-jiann Chen, S. Jain, Sanjay Jain
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc -identification). His machine, on the successive graph...
A model for the emergence of cooperation, interdependence and structure in evolving networks (2000)
Jain, Sanjay, Krishna, Sandeep
Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized...
On Learning and Co-learning of Minimal Programs (2000)
Jain, Sanjay, Kinber, Efim, Wiehagen, Rolf
Freivalds, Karpinski and Smith [8] explored a special type of learning in the limit: identification of an unknown concept (function) by eliminating (erasing) all but one possible hypothesis (this...
Biometric identification (2000)
Identification of grammars (r. e. indices) for recursively enumerable languages from positive data by algorithmic devices is a well studied problem in learning theory. The present paper considers...
Learning Languages and Functions by Erasing (2000)
Sanjay Jain, Efim Kinber, Steffen Lange, Rolf Wiehagen, Thomas Zeugmann
Learning by erasing means the process of eliminating potential hypotheses from further consideration thereby converging to the least hypothesis never eliminated. This hypothesis must be a solution to...
Robust Learning - Rich and Poor (2000)
John Case, Sanjay Jain, Frank Stephan, Rolf Wiehagen
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes \Theta(C) where...
Language Learning from Texts: Degrees of Intrinsic Complexity and Their Characterizations (2000)
Sanjay Jain, Efim Kinber, Rolf Wiehagen
This paper deals with two problems: 1) what makes languages to be learnable in the limit by natural strategies of varying hardness; 2) what makes classes of languages to be the hardest ones to learn....
Distributed Supply Chain Simulation Across Enterprise Boundaries (2000)
Boon Ping Gan, Li Liu, Sanjay Jain, Stephen J. Turner, Wentong Cai, Wen-jing Hsu
The effective practice of supply chain management (SCM) is crucial to improve corporations' competitive advantage. Many corporations have built simulation models to facilitate the application of...
Bottleneck Based Modeling Of Semiconductor Supply Chains (2000)
Sanjay Jain And, Sanjay Jain, Boon-ping Gan, Chu-cheow Lim, Yoke-hean Low
Supply chain planning is critical in semiconductor manufacturing with its expensive production facilities, expensive inventory and usually expensive logistics. Simulation provides a powerful...
Robust learning – rich and poor (2000)
Sanjay Jain, Frank Stephan C, Rolf Wiehagen D
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Θ(C) where Θ is any...
Emergence and growth of complex networks in adaptive systems (1999)
Jain, Sanjay, Krishna, Sandeep
We consider the population dynamics of a set of species whose network of catalytic interactions is described by a directed graph. The relationship between the attractors of this dynamics and the...
On Intrinsic Complexity of Learning Geometrical Concepts from Texts (1999)
The goal of this paper is to quantify complexity of algorithmic learning of geometrical concepts from growing finite segments. The geometrical concepts we consider are variants of open-hulls. We use...
Evolutionary games with two timescales (1999)
Borkar, Vivek S, Jain, Sanjay, Rangarajan, Govindan
We consider a two timescale model of learning by economic agents wherein active or 'ontogenetic' learning by individuals takes place on a fast scale and passive or 'phylogenetic' learning by society...
Emergence and growth of complex networks in adaptive systems (1999)
Jain, Sanjay, Krishna, Sandeep
We consider the population dynamics of a set of species whose network of catalytic interactions is described by a directed graph. The relationship between the attractors of this dynamics and the...
The synthesis of language learners (1999)
An index for an r.e. class of languages (by definition) is a procedure which generates a sequence of grammars defining the class. An index for an indexed family of languages (by definition) is a...
On the intrinsic complexity of learning recursive functions (1999)
Sanjay Jain, Efim Kinber, Christophe Papazian, Carl Smith, Rolf Wiehagen, Mathématique Et D’informatique, ...
The intrinsic complexity of learning compares the difficulty of learning classes of objects by using some reducibility notion. For several types of learning recursive functions, both natural complete...
Yoke-hean Low, Chu-cheow Lim, Wentong Cai, Shell-ying Huang, Wen-jing Hsu, Sanjay Jain, ...
On behalf of:
Incremental concept learning for bounded data mining (1999)
Sanjay Jain, Steffen Lange, Thomas Zeugmann
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Criticality Of Detailed Modeling In Semiconductor Supply Chain Simulation (1999)
Sanjay Jain, Chu-cheow Lim, Boon-ping Gan, Yoke-Hean Low
Supply chain management offers a large potential for organizations to reduce costs and improve customer service performance. Simulation of supply chains can help in these objectives by evaluating the...
Incremental Concept Learning for Bounded Data Mining (1999)
John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Survey of Languages and Runtime Libraries for Parallel Discrete Event Simulation (1999)
Yoke-Hean Low, Chu-cheow Lim, Wentong Cai, Shell-Ying Huang, Wen-Jing HSU, Sanjay JAIN, ...
To develop a parallel discrete event simulation from scratch requires in-depth knowledge of the mapping process from the physical model to the simulation model and also a substantial effort in coping...
Performance Prediction Tools for Parallel Discrete-Event Simulation (1999)
Chu-cheow Lim, Yoke-hean Low, Boon-ping Gan, Sanjay Jain, Wentong Cai, Wen Jing, ...
We have developed a set of performance prediction tools which help to estimate the achievable speedups from parallelizing a sequential simulation. The tools focus on two important factors in the...
Incremental concept learning for bounded data mining (1999)
Steffen Lange, Sanjay Jain, Thomas Zeugmann
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Autocatalytic Sets and the Growth of Complexity in an Evolutionary Model (1998)
Jain, Sanjay, Krishna, Sandeep
A model of s interacting species is considered with two types of dynamical variables. The fast variables are the populations of the species and slow variables the links of a directed graph that...
Parameterization of Mottle Textures. (1998)
Brown, C. M., Hinkelman, Elizabeth, Jain, Sanjay
Parameterization of textures can be useful for detection of textual similarities and matching. In this project we have developed stochastic model to generate a set of parameters from the texture...
Approximate Inference and Scientific Method. (1998)
A new identification criterion, motivated by notions of successively improving approximations in the philosophy of science, is defined. It is shown that the class of recursive functions is...
Emergence and Growth of Complex Networks in Adaptive Systems (1998)
Jain, Sanjay, Krishna, Sandeep
We consider the population dynamics of a set of species whose network of catalytic interactions is described by a directed graph. The relationship between the attractors of this dynamics and the...
Autocatalytic Sets and the Growth of Complexity in an Evolutionary Model (1998)
Jain, Sanjay, Krishna, Sandeep
A model of $s$ interacting species is considered with two types of dynamical variables. The fast variables are the populations of the species and slow variables the links of a directed graph that...
Borkar, Vivek S., Jain, Sanjay, Rangarajan, Govindan
Many complex adaptive systems contain a large diversity of specialized components. The specialization at the level of the microscopic degrees of freedom, and diversity at the level of the system as a...
Dynamics of Individual Specialization and Global Diversification in Communities (1998)
Borkar, Vivek S., Jain, Sanjay, Rangarajan, Govindan
We discuss a model of an economic community consisting of $N$ interacting agents. The state of each agent at any time is characterized, in general, by a mixed strategy profile drawn from a space of...
Dynamics of individual specialization and global diversification in communities (1998)
Borkar, Vivek S, Jain, Sanjay, Rangarajan, Govindan
We discuss a model of an economic community consisting of N interacting agents. The state of each agent at any time is characterized, in general, by a mixed strategy profile drawn from a space of s...
Autocatalytic Sets and the Growth of Complexity in an Evolutionary Model (1998)
Jain, Sanjay, Krishna, Sandeep
A model of s interacting species is considered with two types of dynamical variables. The fast variables are the populations of the species and slow variables the links of a directed graph that...
Dynamics of individual specialization and global diversification in communities (1998)
Borkar, Vivek S, Jain, Sanjay, Rangarajan, Govindan
We discuss a model of an economic community consisting of N interacting agents. The state of each agent at any time is characterized, in general, by a mixed strategy profile drawn from a space of s...
Robust Behaviourally Correct Learning (1998)
Intuitively, a class of functions is robustly learnable if not only the class itself, but also all of the transformations of the class under natural transformations (such as via general recursive...
Learning with refutation (1998)
In their pioneering work, Mukouchi and Arikawa modeled a learning situation in which the learner is expected to refute texts which are not representative of L, the class of languages being...
Many village banking institutions, such as the Grameen Bank, bundle micro credit together with health, education, or other social programs ("tie-ins"), so their effects are difficult to...
Robust Learning Aided by Context (1998)
John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system related tasks, also...
Implementations of Dispatch Rules in Parallel Manufacturing Simulation (1998)
Chu-cheow Lim, Yoke-Hean Low, Boon-ping Gan, Sanjay Jain
Most features in commercial simulation packages are often omitted in parallel simulation benchmarks, because they neither affect the overall correctness of the simulation protocol nor the...
Synthesizing Learners Tolerating Computable Noisy Data (1998)
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of languages (by definition) generates a sequence of...
A Parallel Discrete-Event Simulation of Wafer Fabrication Processes (1998)
Chu-cheow Lim, Yoke-hean Low, Boon-ping Gan, Stephen J. Turner, Sanjay Jain, Wentong Cai, ...
Simulation modeling is an important tool for planning factory operations, to identify and eliminate possible bottlenecks and to maintain high machine utilization. The objective of our project is to...
Synthesizing Noise-Tolerant Language Learners (1998)
John Case, Sanjay Jain, Arun Sharma
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of languages (by definition) generates a sequence of...
Conservative Parallel Simulation for Manufacturing Systems (1998)
Yoke-Hean Low, Chu-cheow Lim, Wentong Cai, Wen Jing Hsu, Boon-ping Gan, Sanjay Jain, ...
Manufacturing system simulations have traditionally been executed using sequential simulators. To allow accurate modelling of the fine details in such a complex system requires the simulator to...
Synthesizing learners tolerating computable noisy data (1998)
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) generates a sequence...
The Embeddedness of Technological Systems (1997)
Technological systems are shaped both by forces arising from the technical environment of product markets and those arising from the institutional environment of compatibility standards. We explore...
The Embeddedness of Technological Systems (1997)
Technological systems are shaped both by forces arising from the technical environment of product markets and those arising from the institutional environment of compatibility standards. We explore...
The Embeddedness of Technological Systems (1997)
Technological systems are shaped both by forces arising from the technical environment of product markets and those arising from the institutional environment of compatibility standards. We explore...
The Embeddedness of Technological Systems (1997)
Technological systems are shaped both by forces arising from the technical environment of product markets and those arising from the institutional environment of compatibility standards. We explore...
Absence of initial singularities in superstring cosmology (1997)
In a universe whose elementary constituents are point particles there does not seem to be any obvious mechanism for avoiding the initial singularities in physical quantities in the standard model of...
Absence of initial singularities in superstring cosmology (1997)
In a universe whose elementary constituents are point particles there does not seem to be any obvious mechanism for avoiding the initial singularities in physical quantities in the standard model of...
Incremental Concept Learning for Bounded Data Mining (1997)
Case, John, Jain, Sanjay, Lange, Steffen, Zeugmann, Thomas
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Absence of initial singularities in superstring cosmology (1997)
In a universe whose elementary constituents are point particles there does not seem to be any obvious mechanism for avoiding the initial singularities in physical quantities in the standard model of...
Typescript.
Incremental concept learning for bounded data mining (1997)
Case, John, Jain, Sanjay, Lange, Steffen, Zeugmann, Thomas
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Learning languages and functions by erasing (1997)
Jain, Sanjay, Kinber, Efim, Lange, Steffen, Wiehagen, Rolf, Zeugmann, Thomas
Learning by erasing means the process of eliminating potential hypotheses from further consideration thereby converging to the least hypothesis never eliminated. This hypothesis must be a solution to...
On the learnability of recursively enumerable languages from good examples (1997)
Jain, Sanjay, Lange, Steffen, Nessel, Jochen
The present paper investigates identification of indexed families of recursively enumerable languages from good examples. In the context of class preserving learning from good text examples, it is...
On the learnability of R.E. languages from good examples (1997)
Jain, Sanjay, Lange, Steffen, Nessel, Jochen
The present paper investigates identification of indexed families of recursively enumerable languages from good examples. In the context of class preserving learning from good text examples, it is...
The structure of intrinsic complexity of learning (1997)
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (from a graph of the...
Synthesizing noise-tolerant language learners (1997)
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of languages (by definition) generates a sequence of...
Learning Languages and Functions by Erasing (1997)
Sanjay Jain, Efim Kinber, Steffen Lange, Rolf Wiehagen, Thomas Zeugmann
Learning by erasing means the process of eliminating potential hypotheses from further consideration thereby converging to the least hypothesis never eliminated. This hypothesis must be a solution to...
Incremental Concept Learning for Bounded Data Mining (1997)
J. Case, S. Jain, S. Lange, T. Zeugmann, Sanjay Jain, Steffen Lange, ...
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Learning From Multiple Sources Of Inaccurate Data (1997)
Ganesh Baliga, Sanjay Jain, Arun Sharma
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies in data emanating...
Learning Concepts Incrementally With Bounded Data Mining (1997)
John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann
Important refinements of incremental concept learning from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Elementary formal systems, intrinsic complexity, and procrastination (1997)
Recently, rich subclasses of elementary formal systems (EFS) have been shown to be identifiable in the limit from only positive data. Examples of these classes are Angluin’s pattern languages,...
Random matrix theory (RMT) provides a common mathematical formulation of distinct physical questions in three different areas: quantum chaos, the 1-d integrable model with the $1/r^2$ interaction...
Random matrix theory (RMT) provides a common mathematical formulation of distinct physical questions in three different areas: quantum chaos, the 1-d integrable model with the $1/r^2$ interaction...
Random matrix theory (RMT) provides a common mathematical formulation of distinct physical questions in three different areas: quantum chaos, the 1-d integrable model with the $1/r^2$ interaction...
Machine induction without revolutionary changes in hypothesis size (1996)
This paper provides a beginning study of the effects on inductive inference of paradigm shifts whose absence is approximately modeled by various formal approaches to forbidding large changes in the...
The intrinsic complexity of language identification (1996)
A new investigation of the complexity of language identification is undertaken using the notion of reduction from recursion theory and complexity theory. The approach, referred to as the intrinsic...
Synthesizing Enumeration Techniques For Language Learning (1996)
Ganesh R. Baliga, John Case, Sanjay Jain
this paper we assume, without loss of generality, that for all oe ` ø , [M(oe) 6=?] ) [M(ø) 6=?].
Synthesizing Enumeration Techniques For Language Learning (1996)
This paper provides positive and negative results on algorithmically synthesizing, from grammars and from decision procedures for classes of languages, learning machines for identifying, from...
Vacillatory and BC Learning on Noisy Data (1996)
John Case, Sanjay Jain, S. Jain, Sanjay Jain, Frank Stephan, Frank Stephan
this paper considers r.e. subsets L of N . We write
Synthesizing Enumeration Techniques For Language Learning (1996)
Ganesh R. Baliga, John Case, S. Jain, Sanjay Jain
This paper provides positive and negative results on algorithmically synthesizing, from grammars and from decision procedures for classes of languages, learning machines for identifying, from...
Vacillatory and BC Learning on Noisy Data (1996)
John Case, Sanjay Jain, Frank Stephan
In an earlier paper, Frank Stephan introduced a form of noisy data which nonetheless uniquely determines the true data: correct information occurs infinitely often while incorrect information occurs...
Vacillatory and BC Learning on Noisy Data (1996)
John Case, Sanjay Jain, Frank Stephan
In an earlier paper, Frank Stephan introduced a form of noisy data which nonetheless uniquely determines the true data: correct information occurs infinitely often while incorrect information occurs...
Deo, Nivedita, Jain, Sanjay, Shastry, Sriram B
We determine a set of Dyson-Schwinger equations or loop equations for a model of two coupled random matrices belonging to the orthogonal, unitary, or symplectic ensembles. In the large N limit, the...
Deo, Nivedita, Jain, Sanjay, Shastry, Sriram B
We determine a set of Dyson-Schwinger equations or loop equations for a model of two coupled random matrices belonging to the orthogonal, unitary, or symplectic ensembles. In the large N limit, the...
Kolmogorov numberings and minimal identification (1995)
Identification of programs for computable functions from their graphs by algorithmic devices is a well studied problem in learning theory. Freivalds and Chen consider identification of ‘minimal ’...
Prudence in vacillatory language identification (1995)
The present paper settles a question about ‘prudent ’ ‘vacillatory ’ identification of languages. Consider a scenario in which an algorithmic device M is presented with all and only the...
On aggregating teams of learning machines (1995)
Abstract 1 The present paper studies the problem of when a team of learning machines can be aggregated into a single learning machine without any loss in learning power. The main results concern...
Complexity issues for vacillatory function identification (1995)
It was previously shown by Barzdin and Podnieks that one does not increase the power of learning programs for functions by allowing learning algorithms to converge to a finite set of correct programs...
On aggregating teams of learning machines (1995)
A team of learning machines is a multiset of learning machines. A team is said to be successful just in case each member of some nonempty subset of the team is successful. The ratio of the number of...
On a question about learning nearly minimal programs (1995)
Identification of programs for computable functions from their graphs by algorithmic devices is a well studied problem in learning theory. Freivalds and Chen consider identification of ‘minimal’...
Program size restrictions in computational learning (1994)
A model for a subject S learning its environment E could be described thus. S, placed in E, receives data about E, and simultaneously conjectures a sequence of hypotheses. S is said to learn E just...
Program synthesis in the presence of infinite number of inaccuracies (1994)
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reasonable for modeling...
Extremes in the Degrees of Inferability (1994)
Lance Fortnow, William Gasarch, Sanjay Jain, Efim Kinber, Stuart Kurtz, ...
this paper we consider the scenario where the learner can ask a fellow student questions. Note that the other student does not know anything more about the function f than the learner; however, she...
Extremes in the Degrees of Inferability (1994)
Lance Fortnow Univ, Lance Fortnow, William Gasarch, Sanjay Jain, Efim Kinber, ...
this paper we consider the scenario where the learner can ask a fellow student questions. Note that the other student does not know anything more about the function f than the learner; however, she...
On the Intrinsic Complexity of Language Identification (1994)
A new investigation of the complexity of language identification is undertaken using the notion of reduction from recursion theory and complexity theory. The approach, referred to as the intrinsic...
On Aggregating Teams of Learning Machines (1994)
1 The present paper studies the problem of when a team of learning machines can be aggregated into a single learning machine without any loss in learning power. The main results concern aggregation...
Characterizing language identification by standardizing operations (1994)
Notions from formal language learning theory are characterized in terms of standardizing operations on classes of recursively enumerable languages. Algorithmic identification in the limit of grammars...
Vacillatory learning of nearly minimal size grammars (1994)
In Gold’s influential language learning paradigm a learning machine converges in the limit to one correct grammar. In an attempt to generalize Gold’s paradigm, Case considered the question...
Extremes in the degrees of inferability (1994)
Lance Fortnow, Efim Kinber, Mark Pleszkoch, William Gasarch, Martin Kummer, Theodore Slaman, ...
Deutsche Forschungsgemeinschaft (DFG) grant Me 672/4-1 1 1
Extremes in the degrees of inferability (1994)
Lance Fortnow, Efim Kinber, Mark Pleszkoch, William Gasarch, Martin Kummer, Theodore Slaman, ...
Supported by the
Effects of cold swim stress on several immune and endocrine functions /--by Sanjay Jain. (1993)
Thesis (Ph. D.)--Kent State University, 1993.
Thesis (Ph. D.)--Kent State University, 1993.
Computational Limits on Team Identification of Languages (1993)
A team of learning machines is essentially a multiset of learning machines. A team is said to successfully identify a concept just in case each member of some nonempty subset of the team identifies...
Computational Limits on Team Identification of Languages (1993)
A team of learning machines is a multiset of learning machines. A team is said to successfully identify a concept just in case each member of some nonempty subset, of predetermined size, of the team...
Learning with the knowledge of an upper bound on program size (1993)
Two learning situations are considered: machine identification of programs from graphs of recursive functions (modeling inductive hypothesis formation) and machine identification of grammars from...
Symmetry Breaking in the Double-Well Hermitian Matrix Models (1992)
Brower, Richard C., Deo, Nevidita, Jain, Sanjay, Tan, Chung-I
We study symmetry breaking in $Z_2$ symmetric large $N$ matrix models. In the planar approximation for both the symmetric double-well $\phi^4$ model and the symmetric Penner model, we find there is...
World-Sheet Geometry and Baby Universes in 2-D Quantum Gravity (1992)
Jain, Sanjay, Mathur, Samir D.
We show that the surface roughness for $c
Strong separation of learning classes (1992)
Suppose LC1 and LC2 are two machine learning classes each based on a criterion of success. Suppose, for every machine which learns a class of functions according to the LC1 criterion of success,...
Learning from Multiple Sources of Inaccurate Data (1992)
Ganesh Baliga, Sanjay Jain, Arun Sharma
Abstract. Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies in data...
On learning limiting programs (1992)
John Case, Sanjay Jain, Arun Sharma
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is stud-ied. Learning of iterated limit programs is also...
Banishing Robust Turing Completeness (1991)
Hemachandra, Lane A., Jain, Sanjay, Vereshchagin, Nikolai K.
This paper proves that "promise classes" are so fragilely structured that they do not robustly possess Turing-hard sets even in classes far larger than themselves. In particular, this paper shows...
Learning in the presence of partial explanations (1991)
The effect of a partial explanation as additional information in the learning process is investigated. A scientist performs experiments to gather experi-mental data about some phenomenon, and then,...
On the limitations of locally robust positive reductions (1991)
Lane A. Hemachandra, Sanjay Jain
Polynomial-time positive reductions, as introduced by Selman, are by definition globally robust — they are positive with respect to all oracles. This paper studies the extent to which the theory of...
Learning with the Knowledge of an Upper Bound on Program Size (1990)
Two learning situations are considered: machine identification of programs from graphs of recursive functions (modeling inductive hypothesis formation) and machine identification of grammars from...
Learning in the Presence of Additional Information and Inaccurate Information (1990)
Ph.D. Thesis, Computer Science Dept., U. Rochester; Prof. Mark Fulk, thesis advisor; simultaneously published in the Technical Report series.
Learning in the Presence of Partial Explanations (1990)
The effect of a partial explanation as additional information in the learning process is investigated. A scientist performs experiments to gather experimental data about some phenomenon, and then,...
Approximate inference and scientific method (1989)
A new identification criterion, motivated by notions of successively improving approximations in the philosophy of science, is defined. It is shown that the class of recursive functions is...
On the Limitations of Locally Robust Positive Reductions (1989)
Hemachandra, Lane A., Jain, Sanjay
Polynomial-time positive reductions, as introduced by Selman, are by definition globally robust -they are positive with respect to all oracles. This paper studies the extent to which the theory of...
Recursion Theoretic Characterizations of Language Learning (1989)
An attempt is made to build "bridges" between machine language learning and recursive function theory. Formal language learning classes are characterized in terms of recursion theoretic notions like...
Open Problems in Systems that Learn (1989)
In this paper we give solutions to some of the open problems in [OSW86]. We also give partial solutions to the other open problems.
Learning in the Presence of Inaccurate Information (1989)
In this paper we discuss the effects of errors in input data on recursion theoretic learning. We consider three types of inaccuracy in input data depending on the presence of extra data (noise),...
Effects of Inaccurate Information and Additional Information on Inductive Inference (1989)
thesis proposal
Learning in the presence of inaccurate information (1989)
The present paper considers the effects of introducing inaccuracies in a learner’s environ-ment in Gold’s learning model of identification in the limit. Three kinds of inaccuracies are...
Parameterization of Mottle Textures (1987)
Brown, C.M., Hinkelman, Elizabeth, Jain, Sanjay
Parameterization of textures can be useful for detection of textual similarities and matching. In this project we have developed a stochastic model to generate a set of parameters from the texture...
Public Opinion and the Dynamics of Reform
Why do economic reforms that are proceeding successfully often run aground? In this paper we show that there might arise circumstances where the initial success of reform might result in it running...
Characterization of bHLH-PAS superfamily of transcription factors.
Thesis (Ph. D., Cancer Biology)--Northwestern University, 1999.
A model for the emergence of cooperation, interdependence, and structure in evolving networks
Jain, Sanjay, Krishna, Sandeep
Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized...
Zhu, Yijun, Qi, Chao, Jain, Sanjay, Le Beau, Michelle M., Espinosa, Rafael, Atkins, G. Brandon, ...
Peroxisome proliferator-activated receptor binding protein (PBP), a nuclear receptor coactivator, interacts with estrogen receptor α (ERα) in the absence of estrogen. This interaction was enhanced...
Hogenesch, John B., Gu, Yi-Zhong, Jain, Sanjay, Bradfield, Christopher A.
We report that MOP3 is a general dimerization partner for a subset of the basic-helix–loop–helix (bHLH)-PER–ARNT–SIM (PAS) superfamily of transcriptional regulators. We demonstrated that MOP3...
Large extinctions in an evolutionary model: The role of innovation and keystone species
Jain, Sanjay, Krishna, Sandeep
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
Ippolito, Joseph E., Xu, Jian, Jain, Sanjay, Moulder, Krista, Mennerick, Steven, Crowley, Jan R., ...
Human neuroendocrine (NE) cancers range from relatively indolent to highly aggressive. In this study, we combine functional genomics with metabolomics to identify features of NE cancers associated...
The Fast Tumble Signal in Bacterial Chemotaxis
Khan, Shahid, Jain, Sanjay, Reid, Gordon P., Trentham, David R.
We have analyzed repellent signal processing in Escherichia coli by flash photorelease of leucine from photolabile precursors. We found that 1), response amplitudes of free-swimming cell populations...
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Samal, Areejit, Singh, Shalini, Giri, Varun, Krishna, Sandeep, Raghuram, Nandula, Jain, Sanjay
Critical and distinct roles for key RET tyrosine docking sites in renal development
Jain, Sanjay, Encinas, Mario, Johnson, Eugene M., Milbrandt, Jeffrey
Molecular mechanisms that lead to congenital anomalies of kidneys and the lower urinary tract (CAKUT) are poorly understood. To elucidate the molecular basis for signaling specificity of...
A model for the emergence of cooperation, interdependence, and structure in evolving networks
Jain, Sanjay, Krishna, Sandeep
Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized...
Zhu, Yijun, Qi, Chao, Jain, Sanjay, Le Beau, Michelle M., Espinosa, Rafael, Atkins, G. Brandon, ...
Peroxisome proliferator-activated receptor binding protein (PBP), a nuclear receptor coactivator, interacts with estrogen receptor α (ERα) in the absence of estrogen. This interaction was enhanced...
Hogenesch, John B., Gu, Yi-Zhong, Jain, Sanjay, Bradfield, Christopher A.
We report that MOP3 is a general dimerization partner for a subset of the basic-helix–loop–helix (bHLH)-PER–ARNT–SIM (PAS) superfamily of transcriptional regulators. We demonstrated that MOP3...
Large extinctions in an evolutionary model: The role of innovation and keystone species
Jain, Sanjay, Krishna, Sandeep
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
Ippolito, Joseph E., Xu, Jian, Jain, Sanjay, Moulder, Krista, Mennerick, Steven, Crowley, Jan R., ...
Human neuroendocrine (NE) cancers range from relatively indolent to highly aggressive. In this study, we combine functional genomics with metabolomics to identify features of NE cancers associated...
The Fast Tumble Signal in Bacterial Chemotaxis
Khan, Shahid, Jain, Sanjay, Reid, Gordon P., Trentham, David R.
We have analyzed repellent signal processing in Escherichia coli by flash photorelease of leucine from photolabile precursors. We found that 1), response amplitudes of free-swimming cell populations...
Critical and distinct roles for key RET tyrosine docking sites in renal development
Jain, Sanjay, Encinas, Mario, Johnson, Eugene M., Milbrandt, Jeffrey
Molecular mechanisms that lead to congenital anomalies of kidneys and the lower urinary tract (CAKUT) are poorly understood. To elucidate the molecular basis for signaling specificity of...
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Samal, Areejit, Singh, Shalini, Giri, Varun, Krishna, Sandeep, Raghuram, Nandula, Jain, Sanjay
Large Extinctions in an Evolutionary Model: The Role of Innovation and Keystone Species
The causes of major and rapid transitions observed in biological macroevolution as well as in the evolution of social systems are a subject of much debate. Here we identify the proximate causes of...
Crashes, Recoveries, and 'Core-Shifts' in a Model of Evolving Networks
A model of an evolving network of interacting molecular species is shown to exhibit repeated rounds of crashes in which several species get rapidly depopulated, followed by recoveries. The network...
Jain, Sanjay, Pulikuri, Sujata, Zhu, Yijun, Qi, Chao, Kanwar, Yashpal S., Yeldandi, Anjana V., ...
Peroxisome proliferator-activated receptors (PPARs) regulate genes involved in lipid metabolism and adipocyte differentiation. Steroid receptor coactivator-1 (SRC-1) and PPAR-binding protein (PBP)...
Overexpression of ABCA1 reduces amyloid deposition in the PDAPP mouse model of Alzheimer disease
Wahrle, Suzanne E., Jiang, Hong, Parsadanian, Maia, Kim, Jungsu, Li, Aimin, Knoten, Amanda, ...
APOE genotype is a major genetic risk factor for late-onset Alzheimer disease (AD). ABCA1, a member of the ATP-binding cassette family of active transporters, lipidates apoE in the CNS. Abca1–/–...
Characterization of thebHLH-PAS superfamily of transcription factors [electronic resource].
A number of biological processes are mediated by members of the basic helix-loop-helix-PAS (bHLH-PAS) superfamily of transcription factors. The Ah-receptor (AHR, receptor for dioxin) and its partner...
Public Opinion and the Dynamics of Reform
Why do economic reforms that are proceeding successfully often run aground? A number of observers have expressed surprise that public opinion regarding the continuation of a reform process often runs...
Project Assistance versus Budget Support: An Incentive-Theoretic Analysis of Aid Conditionality
Aid, budget support, political economy, asymmetric information,
An Analysis of the Impact of Social Factors on Purchase Behavior
Consumers purchase conspicuous goods to satisfy not just material needs but also social needs such as prestige. In an attempt to meet these social needs, marketing managers of conspicuous goods like...
Characterization of thebHLH-PAS superfamily of transcription factors
Thesis (Ph.D.)--Northwestern University, 1999.
Experiments on strategic choices and markets
Wilfred Amaldoss, Teck-Hua Ho, Aradhna Krishna, Kay-Yut Chen, Preyas Desai, Ganesh Iyer, ...
Strategic choice, Market, Experiment,
Workers Without Borders? Culture, Migration and the Political Limits to Globalization
Sanjay Jain, Sumon Majumdar, Sharun Mukand
Despite potentially large welfare gains, the barriers to the international mobility of workers are high and persistent. We develop a simple framework that throws light on why the globalization of...
We highlight the emerging role of technology transfer offices as institutional entrepreneurs involved in building legitimacy for novel technologies. To illustrate this role, we carry out an in-depth...
Load Balancing for Conservative Simulation on Shared Memory Multiprocessor Systems
Boon Ping Gan, Yoke Hean Low, Sanjay Jain, Stephen J. Turner, Wentong Cai, Wen Jing Hsu, ...
Load balancing is a crucial factor in achieving good performance for parallel discrete event simulations. In this paper, we present a load balancing scheme that combines both static partitioning and...
Incremental Concept Learning for Bounded Data Mining
John Case, Sanjay Jain, Steffen Lange, Thomas Zeugmann
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of...
Zhang, Bin, Chang, Jufang, Fu, Ming, Huang, Jie, Kashyap, Rakesh, Salavaggione, Ezequiel, ...
Cornelia de Lange syndrome (CdLS), a disorder caused by mutations in cohesion proteins, is characterized by multisystem developmental abnormalities. PDS5, a cohesion protein, is important for proper...
Jain, Sanjay, George, Gerard, Maltarich, Mark
Establishing the microfoundations of academic entrepreneurship requires closer scrutiny of a key actor contributing to this phenomenon--the university scientist. We investigate the sense-making that...
Breast lump, a rare presentation of costochondral junction tuberculosis: a case report
Jain, Sanjay, Shrivastava, Adesh, Chandra, Dinesh
The diagnosis of musculoskeletal tuberculosis remains a challenge for clinicians and requires a high index of suspicion. The combination of indolent onset of symptom and signs with histological or...