Least Squares Support Vector Machines

Suykens, Johan A K (Katholieke Univ Leuven, Van Gestel, Tony (Risk Management - Dexia Group, De Brabanter, Joseph (Katholieke Univ Leuven, De Moor, Bart (Katholieke Univ Leuven

Description

An examination of least squares support vector machines (LS-SVMs) which are reformulations to standard SVMs. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is also discussed.
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Year
2002
Language
English
Pages
308
Weight
567 gr
EAN
9789812381514
Dimensions
235 x 159 x 25 mm
Binding format
Hardback

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