P. Tamayo, J. Berlin, N. Dayanand, G. Drescher, D. R. Mani, C. Wang
Abstract. Darwin is a high-performance scalable integrated system for Data Mining and Knowledge Discovery in large databases. In this paper we present an overview of Darwin’s philosophy,...
Massively parallel knowledge representation and reasoning: Taking a cue from the brain (2008)
34.4> shruti --- a connectionist knowledge representation and inference system that can encode a large number of facts, rules, and a type hierarchy, and perform a class of first-order inferences...
Jacob D. Jaffe, D. R. Mani, Kyriacos C. Leptos, George M. Church, Michael A. Gillette, Steven A. Carr
Quantitative proteomics holds considerable promise for elucidation of basic biology and for clinical biomarker discovery. However, it has been difficult to fulfill this promise due to over-reliance...
Massively parallel knowledge representation and reasoning: Taking a cue from the brain (2007)
Lokendra Shastri And, Lokendra Shastri, D. R. Mani
a connectionist semantic network that can perform inheritance and recognition in time proportional to the depth of the conceptual hierarchy; shruti --- a connectionist knowledge representation and...
PEPPeR, a Platform for Experimental Proteomic Pattern Recognition (2006)
Jacob D. Jaffe, D. R. Mani, Kyriacos C. Leptos, George M. Church, Michael A. Gillette, Steven A. Carr
Quantitative proteomics holds considerable promise for elucidation of basic biology and for clinical biomarker discovery. However, it has been difficult to fulfill this promise due to over-reliance...
Massively Parallel Simulation of Structured Connectionist Networks. (1998)
Mani, D. R., Shastri, Lokendra
We map structured connectionist models of knowledge representation and reasoning onto existing general purpose massively parallel architectures with the objective of developing and implementing...
Efficient knowledge representation and reasoning is an important component of intelligent activity, and is a crucial aspect in the design of large-scale intelligent systems. This dissertation...
Massively Parallel Simulation of Structured Connectionist Networks: An Interim Report (1994)
We map structured connectionist models of knowledge representation and reasoning onto existing general purpose massively parallel architectures with the objective of developing and implementing...
Massively Parallel Real-Time Reasoning with Very Large Knowledge Bases: An Interim Report (1994)
We map structured connectionist models of knowledge representation and reasoning onto existing general purpose massively parallel architectures with the objective of developing and implementing...
Multiple Instantiation of Predicates in a Connectionist Rule-Based Reasoner (1992)
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and reasoning that can represent systematic knowledge involving n-ary predicates and variables, and...
A connectionist solution to the multiple instantiation problem using temporal synchrony (1992)
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and reasoning that can represent systematic knowledge involving n-ary predicates and variables, and...
Multiple Instantiation of Predicates in a Connectionist Rule-Based Reasoner (1992)
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and reasoning that can represent systematic knowledge involving n-ary predicates and variables, and...
Combining a Connectionist Type Hierarchy with a Connectionist Rule-Based Reasoner (1992)
This paper describes an efficient connectionist knowledge representation and reasoning system that combines rule-based reasoning with reasoning about inheritance and classification within an IS-A...
Combining a Connectionist Type Hierarchy with a Connectionist Rule-Based Reasoner (1991)
This paper describes an efficient connectionist knowledge representation and reasoning system that combines rule-based reasoning with reasoning about inheritance and classification within an IS-A...
Combining a Connectionist Type Hierarchy with a Connectionist Rule-Based Reasoner (1991)
This paper describes an efficient connectionist knowledge representation and reasoning system that combines rule-based reasoning with reasoning about inheritance and classification within an IS-A...
Combining a Connectionist Type Hierarchy with a Connectionist Rule-Based Reasoner (1991)
Mani Lokendra, D. R. Mani, Lokendra Shastri
This paper describes an efficient connectionist knowledge representation and reasoning system that combines rule-based reasoning with reasoning about inheritance and classification within an IS-A...
A Connectionist Solution to the Multiple Instantiation Problem using Temporal Synchrony
Shastri and Ajjanagadde have described a neurally plausible system for knowledge representation and reasoning that can represent systematic knowledge involving n-ary predicates and variables, and...
Identifying the proteins to which small-molecule probes and drugs bind in cells
Ong, Shao-En, Schenone, Monica, Margolin, Adam A., Li, Xiaoyu, Do, Kathy, Doud, Mary K., ...
Most small-molecule probes and drugs alter cell circuitry by interacting with 1 or more proteins. A complete understanding of the interacting proteins and their associated protein complexes, whether...