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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
ASCII Text
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Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy, "A New Multi-Class SVM Based on a Uniform Convergence Result," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4183, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.860770,
author = {Yann Guermeur and André Elisseeff and Hélène Paugam-Moisy},
title = {A New Multi-Class SVM Based on a Uniform Convergence Result},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {4},
year = {2000},
issn = {1098-7576},
pages = {4183},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860770},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - A New Multi-Class SVM Based on a Uniform Convergence Result
SN - 1098-7576
SP
EP
A1 - Yann Guermeur,
A1 - André Elisseeff,
A1 - Hélène Paugam-Moisy,
PY - 2000
VL - 4
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Yann Guermeur, Universit? Lumi?re Lyon 2
André Elisseeff, Universit? Lumi?re Lyon 2
Hélène Paugam-Moisy, Universit? Lumi?re Lyon 2
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
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