Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69, Band 69) - Hardcover

Buch 42 von 188: Intelligent Systems Reference Library

Stoean, Catalin; Stoean, Ruxandra

 
9783319069401: Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? (Intelligent Systems Reference Library, 69, Band 69)
Hardcover
ISBN 10: 3319069403 ISBN 13: 9783319069401
Verlag: Springer, 2014

Inhaltsangabe

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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Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3319069403
ISBN 13 
9783319069401
Einband
Gebundene Ausgabe
Anzahl der Seiten
138
Kontakt zum Hersteller
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Darmstadt
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Deutschland

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Softcover