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

Stoean, Catalin; Stoean, Ruxandra

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

Sinopsis

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3319069403
ISBN 13 
9783319069401
Encuadernación
Tapa dura
Número de páginas
140
Contacto del fabricante
no disponible
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783319382432: Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together?: 69 (Intelligent Systems Reference Library)

Edición Destacada

ISBN 10:  3319382438 ISBN 13:  9783319382432
Editorial: Springer, 2016
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