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» On the Evolution of Evolutionary Algorithms
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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
ISBI
2008
IEEE
16 years 7 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen
WABI
2005
Springer
128views Bioinformatics» more  WABI 2005»
16 years 6 days ago
Algorithms for Imperfect Phylogeny Haplotyping (IPPH) with a Single Homoplasy or Recombination Event
Abstract. The haplotype inference (HI) problem is the problem of inferring 2n haplotype pairs from n observed genotype vectors. This is a key problem that arises in studying geneti...
Yun S. Song, Yufeng Wu, Dan Gusfield
OOPSLA
2009
Springer
16 years 1 months ago
Supporting model evolution through demonstration-based model transformation
Model evolution is often supported by writing model transformation rules in specialized languages. This presents challenges to those who are unfamiliar with model transformation l...
Yu Sun
160
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CEC
2008
IEEE
16 years 1 months ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer