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» Messy Genetic Algorithms for Subset Feature Selection
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
ARCS
2012
Springer
12 years 4 months ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
14 years 1 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
SOCO
2008
Springer
13 years 8 months ago
A genetic algorithm-based method for feature subset selection
Feng Tan, Xuezheng Fu, Yanqing Zhang, Anu G. Bourg...
ICPR
2008
IEEE
14 years 2 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya