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FLAIRS
2004
13 years 9 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar
PAMI
2008
391views more  PAMI 2008»
13 years 7 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
KAIS
2000
86views more  KAIS 2000»
13 years 7 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
TEC
2002
133views more  TEC 2002»
13 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
IGPL
2010
97views more  IGPL 2010»
13 years 6 months ago
A symbolic/subsymbolic interface protocol for cognitive modeling
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential...
Patrick Simen, Thad A. Polk