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Support Vector Machines for Multi-Class Pattern Recognition (1999)
| Citations: | 206 - 6 self |
BibTeX
@MISC{Weston99supportvector,
author = {J. Weston and C. Watkins},
title = {Support Vector Machines for Multi-Class Pattern Recognition},
year = {1999}
}
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Abstract
. The solution of binary classification problems using support vector machines (SVMs) is well developed, but multi-class problems with more than two classes have typically been solved by combining independently produced binary classifiers. We propose a formulation of the SVM that enables a multi-class pattern recognition problem to be solved in a single optimisation. We also propose a similar generalization of linear programming machines. We report experiments using bench-mark datasets in which these two methods achieve a reduction in the number of support vectors and kernel calculations needed.
