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Simple and Robust Methods for Support Vector Machine Expansions.

Authors :
Mattera, Davide
Palmieri, Francesco
Source :
IEEE Transactions on Neural Networks. Sep99, Vol. 10 Issue 5, p1038. 10p. 2 Black and White Photographs, 4 Graphs.
Publication Year :
1999

Abstract

Presents information on a study which improved the techniques for obtaining a solution for the sparsity problem of a support vector (SV) expansion. Overview on engineering problem solving; Examples of sparsity; Comparison between SV approach and cross-correlation based method; Results and conclusion.

Details

Language :
English
ISSN :
10459227
Volume :
10
Issue :
5
Database :
Academic Search Index
Journal :
IEEE Transactions on Neural Networks
Publication Type :
Academic Journal
Accession number :
2266351
Full Text :
https://doi.org/10.1109/72.788644