Kniha Attribute Selection with Genetic Algorithm Bhupendra Kumar

Attribute Selection with Genetic Algorithm

Genetic Algorithm Based Attributes Subset Selection Using Naive Bays Classifier

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
710
Feature selection is the first task of any learning approach to define a relevant set of features. S...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
52
EAN
9783659871634
Enbook ID
10950956
Hmotnost
94
Rozměry
150 x 220 x 3

Kompletní popis

Feature selection is the first task of any learning approach to define a relevant set of features. Several methods are proposed to deal with the problem of feature selection including filter, wrapper and embedded methods. In this work, we focus on feature subset selection to select a minimally sized subset of optimal features. Feature Selection is optimization problem; genetic algorithm based attribute subset selection using naďve bayes classifier is used for this purpose. GABASS are found to be the best technique for selection purpose when there is very large population. The GABASS provides good results and their power lies in the good adaptation to the various and fast changing environments.

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