IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 A New Multi-Class SVM Based on a Uniform Convergence Result Como, Italy July 24-July 27 ISBN: 0-7695-0619-4
We introduce a new support vector machine devoted to the approximation of multi-class discriminant functions. Its training procedure consists in minimizing a new 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.
Citation:
Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy, "A New Multi-Class SVM Based on a Uniform Convergence Result," ijcnn, vol. 4, pp.4183, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||