Multi-classification with tri-class support vector machines: a review

Authors:
C. Angulo;L. González;A. Català;F. Velasco
Affiliations:
GREC, Universitat Politècnica de Catalunya, Vilanova i Geltrú, Spain;COSDE, Depto. de Economía Aplicada I, Universidad de Sevilla, Spain;GREC, Universitat Politècnica de Catalunya, Vilanova i Geltrú, Spain;COSDE, Depto. de Economía Aplicada I, Universidad de Sevilla, Spain
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

Citing 9
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Abstract

In this article, with the aim to avoid the loss of information that occurs in the usual one-versus-one SVM decomposition procedure of the two-phases (decomposition, reconstruction) multiclassification scheme tri-class SVMapproach is addressed. As themost relevant result, it will be demonstrated the robustness improvement of the proposed scheme based on tri-class machine versus that based on the bi-class machine.