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IJCNN
2006
IEEE
14 years 1 months ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert
IJCNN
2007
IEEE
14 years 1 months ago
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning
— High-order human cognition involves processing of abstract and categorically represented knowledge. Traditionally, it has been considered that there is a single innate internal...
Toshihiko Matsuka, Yasuaki Sakamoto
WM
2003
13 years 8 months ago
Worlds, Models, and KM
Techniques for computation on generalized diagrams are defined and the KM implications are explored. Descriptive Computing is presented and plan computation based on world models t...
Cyrus F. Nourani
PERCOM
2007
ACM
14 years 7 months ago
A Simple Model and Infrastructure for Context-Aware Browsing of the World
The imminent mass deployment of pervasive computing technologies such as sensor networks and RFID tags, together with the increasing participation of the Web community in feeding ...
Gabriella Castelli, Alberto Rosi, Marco Mamei, Fra...

Book
498views
15 years 5 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood