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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 17 days ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
ICML
2005
IEEE
16 years 7 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 11 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
IPPS
2008
IEEE
16 years 25 days ago
Decentralized market-based resource allocation in a heterogeneous computing system
We present a decentralized market-based approach to resource allocation in a heterogeneous overlay network. The presented resource allocation strategy assigns overlay network reso...
Jay Smith, Edwin K. P. Chong, Anthony A. Maciejews...
CVPR
2011
IEEE
15 years 3 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li