Constructive Induction-based Learning Agents: An Architecture and Preliminary Experiments (2008)
This paper introduces a new type of intelligent agent called a constructive induction-based learning agent (CILA). This agent differs from other adaptive agents because it has the ability to not only...
Learning Hybrid Concept Descriptions (2008)
Ryszard S. Michalski, Janusz Wnek
Most symbolic learning methods are concerned with learning concept descriptions in the form of a decision tree or a set of rules expressed in terms of the originally given attributes. For some...
LEARNING DESIGN RULES FOR WIND BRACINGS IN TALL BUILDINGS (2008)
Tomasz Arciszewski, Associate Member Asce, Eric Bloedorn, Ryszard S. Michalski, Mohamad Mustafa, Janusz Wnek
This paper describes a methodology for applying machine learning to problems of conceptual design, and presents a case study of learning design rules for wind bracings in tall buildings. Design rules...
AqBC: A Multistrategy Approach for Constructive Induction (2007)
In order to obtain potentially interesting patterns and relations from large, distributed, heterogeneous databases, it is essential to employ an intelligent and automated KDD (Knowledge Discovery in...
Learning Design Rules For Wind Bracings In Tall Buildings (2007)
Tomasz Arciszewski, Eric Bloedorn, Ryszard S. Michalski, Mohamad Mustafa, Janusz Wnek
This paper describes a methodology for applying machine learning to problems of conceptual design, and presents a case study of learning design rules for wind bracings in tall buildings. Design rules...
American Association for Artificial Intelligence Multistrategy Task-adaptive Learning Using (2007)
Edited Ryszard, S. Michalski, Janusz Wnek, Nabil W. Alkharouf, Ryszard S. Michalski
This research concerns the development of a methodology for representing, plazaflag and executing multitype inferences in a multistrategy task-adaptive learning system. These inferences, defined in...
J. Wnek, R. S. Michalski, Janusz Wnek, Janusz Wnek, Ryszard S. Michalski, Ryszard S. Michalski
The paper discusses and experimentally compares five different methods for concept learning from examples. The first three are symbolic methods, specifically, a decision tree learning method (C4.5),...
BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH (2007)
Pawel A. Stefanski, Janusz Wnek, Jianping Zhang
This bibliography iS intended to be a useful source of reference for researchers, students and any
COMPARING SYMBOLIC AND SUBSYMBOLIC LEARNING: Three Studies (2007)
G. Tecuci, Morgan Kaumann, Janusz Wnek, Ryszard S. Michalski
This chapter reports on three studies comparing symbolic and subsymbolic methods for concept learning from examples. The first study compared five learning methods, three represenling symbolic...
J. Wnek, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
ABSTRACT--This paper reports on three studies comparing symbolic and subsymbolic methods for concept learning from examples. The first study compared five learning methods, three representing...
Constructive Induction-based Learning Agents: An Architecture and Preliminary Experiments (2007)
This paper introduces a new type of intelligent agent called a constructive induction-based learning agent (CILA). This agent differs from other adaptive agents because it has the ability to not only...
Learning Hybrid Concept Descriptions (2007)
Ryszard S. Michalski, Janusz Wnek
Most symbolic learning methods are concerned with learning concept descriptions in the form of a decision tree or a set of rules expressed in terms of the originally given attributes. For some...
Michalski, Ryszard S., Wnek, Janusz
The Third International Workshop on Multistrategy Learning (MSL-96), held in Harpers Ferry, WV, May 23-25, 1996, attracted leading researchers in this area from Australia, Austria, Belgium, France,...
Learning and Revising User Profiles: The Identification of Interesting Web Sites (1997)
Michael Pazzani, Daniel Billsus, S. Michalski, Janusz Wnek
. We discuss algorithms for learning and revising user profiles that can determine which World Wide Web sites on a given topic would be interesting to a user. We describe the use of a naive Bayesian...
A Multistrategy Learning Approach to Flexible Knowledge Organization and Discovery (1997)
Seok Won Lee, Scott Fischthal, Janusz Wnek
Properly organizing knowledge so that it can be managed often requires the acquisition of patterns and relations from large, distributed, heterogeneous databases. The employment of an intelligent and...
Inductive Learning System AQ15c: The Method and User's Guide (1995)
Wnek, Janusz, Kaufman, Kenneth A., Bloedorn, Eric, Michalski, Ryszard S.
Bloedorn, Eric, Imam, Ibrahim F., Kaufman, Kenneth A., Maloof, Marcus A., Michalski, Ryszard S., Wnek, Janusz
Constructive Induction: the Key to Design Creativity (1995)
T. Arciszewski, R. S. Michalski, J. Wnek, Tomasz Arciszews Ki, Ryszard S. Michalski, Janusz Wnek
Abstract. The paper presents initial results from an emerging new direction in engineering design research, in particular, creative design. It argues that constructive induction, which was originally...
Witold Szczepanik, Tomasz Arciszewski, Janusz Wnek
The paper provides results of a performance comparison study of two symbolic learning programs, both based on the AQ15C learning algorithm. The first program uses the single representation space...
Constructive Induction: the Key to Design Creativity (1995)
Tomasz Arciszewski, Ryszard S. Michalski, Janusz Wnek
Abstract. The paper presents initial results from an emerging new direction in engineering design research, in particular, creative design. It argues that constructive induction, which was originally...
Machine Learning of Design Rules: Methodology and Case Study (1994)
Arciszewski, Tomasz, Bloedorn, Eric, Michalski, Ryszard S., Mustafa, Mohamad, Wnek, Janusz
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments (1994)
R. Michalski, J. Wnek, J. Wnek, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
A method for consreactive induction is described that generates new problem-relevant atu'ibutes by analyzing and abstracting iteratively created inductive concept hypotheses. The method, called...
Comparing Symbolic and Subsymbolic Learning (1994)
J. Wnek, J. Wnek, R. S. Michalski, R. S. Michalski, Janusz Wnek, Ryszard S. Michalski
This paper reports on three studies comparing symbolic and subsymbolic methods for concept learning from examples. The first study compared five learning methods, three representing symbolic learning...
Conceptual Transition from Logic to Arithmetic (1994)
Janusz Wnek, Ryszard S. Michalski
This paper presents a computational study of the change of the logic-based concepts to arithmeticbased concepts in inductive learning from examples. Specifically, we address the problem of learning...
A Hypothesis-driven Constructive Induction Approach to Expanding Neural Networks (1994)
Vladimir N. Sazonov, Janusz Wnek
With most machine learning methods, if the given knowledge representation space is inadequate then the learning process will fail. This is also true with methods using neural networks as the form of...
Janusz Wnek, Ryszard S. Michalski
This paper addresses a class of learning problems that require a construction of descriptions that combine both M-of-N rules and traditional Disjunctive Normal form (DNF) rules. The presented method...
Matching Methods with Problems: A Comparative Analysis of Constructive Induction Approaches (1994)
Eric Bloedorn, Ryszard Michalski, Janusz Wnek
This paper provides a taxonomy of constructive induction problems and reports on an empirical comparison of several constructive induction methods. In this paper a representation space is said to be...
Conceptual Transition from Logic to Arithmetic (1994)
Janusz Wnek, Ryszard S. Michalski
This paper presents a computational study of the change of the logic-based concepts to arithmeticbased concepts in inductive learning from examples. Specifically, we address the problem of learning...
AQ17 A Multistrategy Learning System The Method and Users Guide (1993)
Bloedorn, Eric, Wnek, Janusz, Michalski, Ryszard S., Kaufman, Kenneth A.
Constructive Induction in Engineering Design (1992)
Wnek, Janusz, Bloedorn, Eric, Arciszewski, Tomasz, Mustafa, Mohamad, Michalski, Ryszard S.
A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems (1992)
Bala, Jerzy W., Bloedorn, Eric, De Jong, Kenneth A., Kaufman, Kenneth A., Michalski, Ryszard S., Pachowicz, Peter W., ...
The principal axes method for constructive induction (1992)
J. Bala, R. S. Michalski, J. Wnek, Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek
The paper describes a novel method for consreactive induction, called PRAX (Principal Axes). The madeflying idea of the method is to determine descriptions of a class of certain basic concepts, and...
The MONK's problems: A Performance Comparison of Different Learning Algorithms (1991)
Thrun, Sebastian B., Bala, Jerzy W., Bloedorn, Eric, Bratko, Ivan, Cestnik, Bojan, Cheng, John, ...
The MONK's problems: A Performance Comparison of Different Learning Algorithms (1991)
Thrun, Sebastian B., Bala, Jerzy W., Bloedorn, Eric, Bratko, Ivan, Cestnik, Bojan, Cheng, John, ...
J. Wnek, J. Sarma, A. Wahab, R. S. Michalski, Study Single, Concept Learning, ...
Four different learning methods are experimentally compared by applying them to a series of simple, single concept learning problems. The methods compared include a rule-learning program, AQI$, a...
J. Wnek, J. Sarma, A. Wahab, R. S. Michalski, Janusz Wnck, Ashraf A. Wahab, ...
Four different learning methods are experimentally compared by applying them to a series of simple, single concept learning problems. The methods compared include a rule-learning program, AQ15, a...