Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: Revaluation Books, Exeter, Regno Unito
EUR 82,46
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: preigu, Osnabrück, Germania
EUR 44,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: Majestic Books, Hounslow, Regno Unito
EUR 78,88
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 79,75
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: moluna, Greven, Germania
EUR 41,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330030631 ISBN 13: 9783330030633
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.