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» A theoretical framework for multiple neural network systems
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TNN
1998
146views more  TNN 1998»
13 years 8 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou
KRDB
2003
111views Database» more  KRDB 2003»
13 years 10 months ago
A Framework for Answering Queries using Multiple Representation and Inference Techniques
The Polylog framework is designed to provide a language for efficiently automating complex queries of information represented in multiple formats. A Polylog program contains a set...
Nicholas L. Cassimatis
ICAISC
2004
Springer
14 years 2 months ago
Chaotic Itinerancy for Patterns Separation
Chaotic neural network with external inputs has been used as a mixed input pattern separator. In contrast to previous work on the subject, highly chaotic dynamical system (LLE ≈ ...
Pawel Matykiewicz
SIGKDD
2000
112views more  SIGKDD 2000»
13 years 8 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy
WSC
1997
13 years 10 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick