A new multi-class SVM based on a uniform convergence result
Guermeur, Y.
Elisseeff, A.
Paugam-Moisy, H.
LORIA, Vandoeuvre-les-Nancy;
This paper appears in: Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Publication Date: 2000
Volume: 4,
On page(s): 183-188 vol.4
Meeting Date: 07/24/2000 - 07/27/2000
Location: Como, Italy
ISBN: 0-7695-0619-4
References Cited: 13
INSPEC Accession Number: 6735072
Digital Object Identifier: 10.1109/IJCNN.2000.860770
Current Version Published: 2002-08-06
Abstract
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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