Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions, 1st Edition (e-Book) book cover

Support Vector Machines

Optimization Based Theory, Algorithms, and Extensions, 1st Edition

By Naiyang Deng, Yingjie Tian, Chunhua Zhang

Chapman and Hall/CRC

363 pages

Purchasing Options:$ = USD
Hardback: 9781439857922
pub: 2012-12-17
$120.00
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eBook (VitalSource) : 9780429110283
pub: 2012-12-17
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Description

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which

Table of Contents

Optimization. Linear Classification Machines. Linear Regression Machines. Kernels and Support Vector Machines. Basic Statistical Learning Theory of C-Support Vector Classification. Model Construction. Implementation. Variants and Extensions of Support Vector Machines. Bibliography. Index.

Subject Categories

BISAC Subject Codes/Headings:
BUS049000
BUSINESS & ECONOMICS / Operations Research
BUS061000
BUSINESS & ECONOMICS / Statistics
COM037000
COMPUTERS / Machine Theory