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GECCO
2009
Springer
15 years 9 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ISCI
2008
165views more  ISCI 2008»
15 years 4 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
SUTC
2008
IEEE
15 years 11 months ago
Security Enforcement Model for Distributed Usage Control
Recently proposed usage control concept and models extend traditional access control models with features for contemporary distributed computing systems, including continuous acce...
Xinwen Zhang, Jean-Pierre Seifert, Ravi S. Sandhu
NIPS
2003
15 years 5 months ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 8 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell