Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,90
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Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: Majestic Books, Hounslow, Reino Unido
EUR 80,08
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 79,75
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: moluna, Greven, Alemania
EUR 41,71
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,90
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Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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.