01529cz a2200217n 4500
sh2008009003
DLC
20090226082611.0
081119i| anannbabn |a ana c
sh2008009003
ViU
eng
DLC
Support vector machines
SVMs (Algorithms)
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Algorithms
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Kernel functions
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Supervised learning (Machine learning)
Work cat.: Support vector machines, c2008:
p. vii (support vector machines (SVMs), modeling and prediction tool; support vector machines and related kernel-based methods; importance of SVMs for statistical machine learning) p. 13 (the first algorithms named "support vector machines") p. 333 (regression, classification are two main areas where support vector machines are applied)
Learning to classify text using support vector machines, c2002:
p. 35 (support vector machines developed by Vapnik et al based on the structural risk minimization principle)
Data mining, 2006:
p. 337 (support vector machine (SVM), algorithm that uses nonlinear mapping to transform training data into higher dimension)
Algorithms and data structures, 2001:
p. 111 (support vector machine, SVM, classifier algorithm in which decision boundary depends only on subset of training vectors, called support vectors)
Wikipedia, Jan. 26, 2009
(Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression)