Table of Contents
ISRN Applied Mathematics
Volume 2013 (2013), Article ID 520635, 11 pages
Research Article

A Faster Gradient Ascent Learning Algorithm for Nonlinear SVM

1Department of Informatics and Cybernetics, Bucharest University of Economic Studies, Dorobanţi 15-17, 010552 Bucharest, Romania
2Department of Mathematics and Informatics, University of Pitesti, Târgu din Vale No. 1, 110040 Pitesti, Romania
3Department of Informatics, Ionian University, Palaia Anaktora 49100 Corfu, Greece

Received 27 May 2013; Accepted 19 July 2013

Academic Editors: S. He and L. Wu

Copyright © 2013 Catalina-Lucia Cocianu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Catalina-Lucia Cocianu, Luminita State, Marinela Mircea, and Panayiotis Vlamos, “A Faster Gradient Ascent Learning Algorithm for Nonlinear SVM,” ISRN Applied Mathematics, vol. 2013, Article ID 520635, 11 pages, 2013. doi:10.1155/2013/520635