Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? - Couverture souple

Livre 42 sur 188: Intelligent Systems Reference Library

Stoean, Catalin; Stoean, Ruxandra

 
9783319382432: Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together?
Couverture souple
ISBN 10 : 3319382438 ISBN 13 : 9783319382432
Editeur : Springer, 2016

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2016
Langue
anglais
ISBN 10 
3319382438
ISBN 13 
9783319382432
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Allemagne

Autres éditions populaires du même titre

9783319069401: Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together?

Edition présentée

ISBN 10 :  3319069403 ISBN 13 :  9783319069401
Editeur : Springer International Publishin..., 2014
Couverture rigide