Support vector machines
Support vector machines
SVMs (Algorithms)
SVMs (Algorithms)
sh2008009003
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)
found
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)
found
Data mining, 2006:
p. 337 (support vector machine (SVM), algorithm that uses nonlinear mapping to transform training data into higher dimension)
found
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)
found
Wikipedia, Jan. 26, 2009
(Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression)
found
2008-11-19T00:00:00
new
2009-02-26T08:26:11
revised