Science/Engineering LEAST SQUARES SUPPORT VECTOR MACHINES (9812381511)

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Author: Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor & Joos Vandewalle
Publisher: World Scientific Publishing Co. Pte. Ldt
ISBN: 9812381511
Pages: 308

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 sparseness 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 Nyström sampling with active selection of support vectors. The methods are illustrated with several examples.

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	An Introduction to Support Vector Machines and Other Kernel Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods"Cambridge University Press \| ISBN 0521780195 \| 2000 Year \| CHM \| 4 Mb \| 189 Pages?This is the first comprehensive intr ...
	Study Support Vector Machines: Theory and Applications pic info:2007-03-23/e5_origSupport Vector Machines: Theory and Applicationsby Lipo Wang, (Studies in Fuzziness and Soft Computing)Springer \| ISBN: 3540243887 \| 2005 Year \| 431 Pages \| PDF \| 16 MbThe support vector machine (SVM) has become o ...
	Study Support Vector Machines for Pattern Classification pic info:2007-03-23/e4_origSupport Vector Machines for Pattern Classificationby Shigeo Abe, (Advances in Pattern Recognition)Springer \| ISBN: 1852339292 \| 2005 Year \| 343 Pages \| PDF \| 2 MbSupport vector machines (SVMs), were originally for ...
	Programming Rule Extraction from Support Vector Machines Joachim Diederich “Rule Extraction from Support Vector Machines" Springer \| 2008-02-13 \| ISBN: 3540753893 \| 262 pages \| PDF \| 3 MB
	Science/Engineering Support Vector Machines Ingo Steinwart, Andreas Christmann, "Support Vector Machines"Springer \| ISBN: 0387772413 \| August 12, 2008 \| 602 pages \| PDF \| 3.7MBThis book explains the principles that make support vector machines (SVMs) a successful modelling and predic ...
	Science/Engineering Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle - Least Squares Support Vector Machines Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle - Least Squares Support Vector MachinesPublisher: World Scientific Publishing Company \| 2003-01 \| ISBN: 9812381511 \| DJVU \| 308 pages \| 3.19 MBFocuses on Le ...

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