Computers & Internet Books:

Support Vector Machines and Evolutionary Algorithms for Classification

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Description

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.
Release date Australia
June 13th, 2014
Audience
  • Professional & Vocational
Illustrations
31 Illustrations, black and white; XVI, 122 p. 31 illus.
Pages
122
Dimensions
155x235x10
ISBN-13
9783319069401
Product ID
22324615

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