Efficient computations for large least square support vector machine classifiers

DOI10.1016/S0167-8655(02)00190-3zbMath1053.68082MaRDI QIDQ4421032

Kok Seng Chua

Publication date: 19 August 2003

Published in: Pattern Recognition Letters (Search for Journal in Brave)

zbMATH Keywords

ClassificationSupport vector machinesLeast squaresSherman-Morrison-Woodbury identity

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (7)

Classification using least squares support vector machine for reliability analysis ⋮ Efficient sparse least squares support vector machines for pattern classification ⋮ Adaptive pruning algorithm for least squares support vector machine classifier ⋮ A weighted LS-SVM approach for the identification of a class of nonlinear inverse systems ⋮ Model selection for the LS-SVM. Application to handwriting recognition ⋮ Nonparallel plane proximal classifier ⋮ Analysis of General Ideal Proportional Navigation Guidance Laws

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