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GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 3 months ago
The parallel Nash Memory for asymmetric games
Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function...
Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlas...
ACL
2006
15 years 1 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 4 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ITIIS
2010
138views more  ITIIS 2010»
14 years 6 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
BMCBI
2011
14 years 6 months ago
SNPPicker: High quality tag SNP selection across multiple populations
Background: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every s...
Hugues Sicotte, David N. Rider, Gregory A. Poland,...