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Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? (Hardcover, 2014 ed.) Loot Price: R3,363
Discovery Miles 33 630
Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? (Hardcover, 2014 ed.): Catalin...

Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? (Hardcover, 2014 ed.)

Catalin Stoean, Ruxandra Stoean

Series: Intelligent Systems Reference Library, 69

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Loot Price R3,363 Discovery Miles 33 630 | Repayment Terms: R315 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 69
Release date: June 2014
First published: 2014
Authors: Catalin Stoean • Ruxandra Stoean
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Hardcover
Pages: 122
Edition: 2014 ed.
ISBN-13: 978-3-319-06940-1
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-06940-3
Barcode: 9783319069401

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