Synopsis
This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.
Biographie de l'auteur
Dr. Haider Banka received his Ph.D. in 2008 and joined in the Department of Computer Science and Engineering, Indian School of Mines, Dhanbad in the year 2007 and currently working as an Associate Professor. Dr. Banka has published more than 55 articles in referred journals/proceedings of international repute. His area of interest is Soft Computing
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well. 124 pp. Englisch. N° de réf. du vendeur 9783330030633
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Banka HaiderDr. Haider Banka received his Ph.D. in 2008 and joined in the Department of Computer Science and Engineering, Indian School of Mines, Dhanbad in the year 2007 and currently working as an Associate Professor. Dr. Banka has. N° de réf. du vendeur 159137538
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock. N° de réf. du vendeur 3330030631
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. N° de réf. du vendeur 9783330030633
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This books covers a state of the art literature on classical feature selection problem using some of the most recently developed methods. The feature selection problem has been investigated with great detail particularly in high dimensional space. The whole book consists of 7seven chapters covering many soft computing techniques such as PSO, GA, NSGA-II, ACO and others to deal with the feature selection problem. We hope that this edition will be more beneficial to all beginners, researchers and experts as well. N° de réf. du vendeur 9783330030633
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Feature Selection in High Dimensional Data Using Metaheuristic
Edité par
LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3330030631
ISBN 13 : 9783330030633
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Feature Selection in High Dimensional Data Using Metaheuristic | Haider Banka (u. a.) | Taschenbuch | 124 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330030633 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 108371205
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