Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science - M.N. Murty - Books - Springer International Publishing AG - 9783319410623 - August 25, 2016
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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science 1st ed. 2016 edition

M.N. Murty

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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science 1st ed. 2016 edition

This work reviews the state of the art in SVM and perceptron classifiers. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used.


108 pages, 25 black & white illustrations, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released August 25, 2016
ISBN13 9783319410623
Publishers Springer International Publishing AG
Pages 95
Dimensions 155 × 235 × 6 mm   ·   167 g
Language French  

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