Support vector machines : optimization based theory, algorithms, and extensions /

Preface Support vector machines (SVMs), which were introduced by Vapnik in the early 1990s, are proved effective and promising techniques for data mining. SVMs have recently been breakthroughs in advance in their theoretical studies and implementations of algorithms. They have been successfully appl...

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Bibliographic Details

Main Author:	Deng, Naiyang (Author)
Corporate Author:	Taylor & Francis
Other Authors:	Tian, Yingjie, 1973-, Zhang, Chunhua, 1978-
Format:	eBook
Language:	English
Language Notes:	English.
Published:	Boca Raton : CRC Press, Taylor and Francis Group, [2013]
Edition:	1st edition.
Series:	Chapman & Hall/CRC data mining and knowledge discovery series.
Subjects:	Mathematical optimization. Optimisation mathématique. Mathematical optimization Electronic books.
Online Access:	Connect to the full text of this electronic book