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Feature selection for functional PLS

โœ Scribed by Kondylis, Athanassios; Whittaker, Joe


Book ID
118247619
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
714 KB
Volume
121
Category
Article
ISSN
0169-7439

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Genetic algorithms GA are very useful in solving complex problems of optimization. The selection of the best subset of variables is surely one of them. In this paper, a new approach is proposed, and the positive and negative aspects of the appli-ลฝ . cation of GA in selecting variables for a partial