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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 herö 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.
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Add to basketHardcover. Condition: Brand New. 9.50x6.50x0.50 inches. In Stock.
Taschenbuch. Condition: 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.
Language: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
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Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
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Taschenbuch. Condition: 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.
Language: English
Published by Berlin Springer International Publishing Springer Sep 2016, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 122 pp. Englisch.
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Published by Springer International Publishing, 2014
ISBN 10: 3319069403 ISBN 13: 9783319069401
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guides the reader from single methodologies, like support vector machines and evolutionary algorithms, to hybridization at different levels between the two, showing the benefits and drawbacks of eachContains new approaches to classification person.
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319382438 ISBN 13: 9783319382432
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guides the reader from single methodologies, like support vector machines and evolutionary algorithms, to hybridization at different levels between the two, showing the benefits and drawbacks of eachContains new approaches to classification person.
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Condition: New. PRINT ON DEMAND pp. 140.
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Buch. Condition: Neu. Support Vector Machines and Evolutionary Algorithms for Classification | Single or Together? | Catalin Stoean (u. a.) | Buch | xvi | Englisch | 2014 | Springer | EAN 9783319069401 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.