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ICANN
2005
Springer
14 years 1 months ago
Discriminant Parallel Perceptrons
Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient an...
Ana M. González, Iván Cantador, Jos&...
DAGSTUHL
2009
13 years 9 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
ICANNGA
2009
Springer
203views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
NEAT in HyperNEAT Substituted with Genetic Programming
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Zdenek Buk, Jan Koutník, Miroslav Snorek
ATAL
2008
Springer
13 years 10 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 7 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter