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116
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ISNN
2007
Springer
15 years 9 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
156
Voted
ADMA
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
116
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
127
Voted
IEEECGIV
2005
IEEE
15 years 8 months ago
2005
IEEE
Aerial photos with LiDAR data were processed with genetic algorithms for not only the feature extraction but also orthographical image. DSM provided by LiDAR reduced the amount of...
130
Voted
ICDAR
2003
IEEE
15 years 8 months ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...