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» Messy Genetic Algorithms for Subset Feature Selection
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EXPERT
1998
92views more  EXPERT 1998»
13 years 7 months ago
Feature Subset Selection Using a Genetic Algorithm
Jihoon Yang, Vasant Honavar
PR
2007
148views more  PR 2007»
13 years 6 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
SAC
1998
ACM
13 years 11 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 11 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...
ROBIO
2006
IEEE
153views Robotics» more  ROBIO 2006»
14 years 1 months ago
GA-based Feature Subset Selection for Myoelectric Classification
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
Mohammadreza Asghari Oskoei, Huosheng Hu