Least Squares Support Vector Machines

Least Squares Support Vector Machines

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Trade Cloth, World Scientific Publishing Company, 2002, ISBN# 9812381511
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LEAST SQUARES SUPPORT VECTOR MACHINES

About this item

Important Made in USA Origin Disclaimer: For certain items sold by Walmart on Walmart.com, the displayed country of origin information may not be accurate or consistent with manufacturer information. For updated, accurate country of origin data, it is recommended that you rely on product packaging or manufacturer information.

LEAST SQUARES SUPPORT VECTOR MACHINES

This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing spareness and employing robust statistics.

The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nystrom sampling with active selection of support vectors. The methods are illustrated with several examples.

Specifications

Number of Pages: 308
Number in Series: 1
Original Languages: English
Subject: LEAST SQUARES
Author: Suykens, Johan A. K. ,  De Brabanter, Jos/ ,  Van Gestel, Tony
Target Audience: Scholarly & Professional
Publisher: World Scientific Pub Co Inc
ISBN-13: 9789812381514
Brand: Generic
Assembled Product Dimensions (L x W x H): 6.25 x 9.25 x 1.00 Inches
ISBN-10: 9812381511
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