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.
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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.
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
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783330030633
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: moluna, Greven, Alemania
Condición: 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. Nº de ref. del artículo: 159137538
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock. Nº de ref. del artículo: 3330030631
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Nº de ref. del artículo: 9783330030633
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783330030633
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 108371205
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