A new multi-class SVM based on a uniform convergence result
Guermeur, Y.; Elisseeff, A.; Paugam-Moisy, H.
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Volume 4, Issue , 2000 Page(s):183 - 188 vol.4
Digital Object Identifier   10.1109/IJCNN.2000.860770
Summary:We introduce a support vector machine devoted to the approximation of multi-class discriminant functions. Its training procedure consists in minimizing an expression of the guaranteed risk. This bound is significantly tighter than the former ones, which should make the implementation of the structural risk minimization inductive principle in the context of multi-class discrimination better grounded

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