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Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69) - Hardcover
Synopsis
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.
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From the Back Cover
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.
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Support Vector Machines and Evolutionary Algorithms for Classification. Single or Together?
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xiii, 122 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Seller Inventory # 41863HB
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Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
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Springer International Publishing, 2014
ISBN 10: 3319069403
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Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
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Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69)
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Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
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Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69)
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Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69)
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Support Vector Machines and Evolutionary Algorithms for Classification
Published by
Springer International Publishing Jun 2014, 2014
ISBN 10: 3319069403
ISBN 13: 9783319069401
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. 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. 140 pp. Englisch. Seller Inventory # 9783319069401
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Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
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Support Vector Machines and Evolutionary Algorithms for Classification : Single or Together?
Published by
Springer International Publishing, 2014
ISBN 10: 3319069403
ISBN 13: 9783319069401
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. 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. Seller Inventory # 9783319069401
Quantity: 1 available