Verlag: Springer International Publishing, 2014
ISBN 10: 3319069403 ISBN 13: 9783319069401
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 153,20
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In den WarenkorbHardcover. Zustand: Brand New. 9.50x6.50x0.50 inches. In Stock.
Taschenbuch. Zustand: Neu. Support Vector Machines and Evolutionary Algorithms for Classification | Single or Together? | Catalin Stoean (u. a.) | Taschenbuch | Previously published in hardcover | xvi | Englisch | 2016 | Springer | EAN 9783319382432 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 151,19
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 140 pages. 9.25x6.10x0.32 inches. In Stock.
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding of the how and why of its predictions. The question raised in this book is how can this 'masked hero' be made more comprehensible and friendly to the public: provide a surrogate model for its hidden optimization engine, replace the method completely or appoint a more friendly approach to tag along and offer the much desired explanations Evolutionary algorithms can do all these and this book presents such possibilities of achieving high accuracy, comprehensibility, reasonable runtime as well as unconstrained performance.