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GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
14 years 1 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
ESANN
2003
13 years 11 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
AAAI
1998
13 years 11 months ago
The Role of Data Reprocessing in Complex Acoustic Environments
The Integrated Processing and Understanding of Signals (IPUS) architecture is a general blackboard framework for structuring bidirectional interaction between front-end signal pro...
Frank Klassner, Victor R. Lesser, Hamid Nawab
DCG
2010
132views more  DCG 2010»
13 years 10 months ago
Delaunay Refinement for Piecewise Smooth Complexes
We present a Delaunay refinement algorithm for meshing a piecewise smooth complex in three dimensions. The algorithm protects edges with weighted points to avoid the difficulty po...
Siu-Wing Cheng, Tamal K. Dey, Edgar A. Ramos
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 9 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee