A DC programming approach for feature selection in support vector machines learning-Reference-Cited by-同舟云学术

A DC programming approach for feature selection in support vector machines learning

Published:2008-11-23 Issue:3 Volume:2 Page:259-278
ISSN:1862-5347
Container-title:Advances in Data Analysis and Classification
language:en
Short-container-title:Adv Data Anal Classif

Author:

Le Thi Hoai An,Le Hoai Minh,Nguyen Van Vinh,Pham Dinh Tao

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s11634-008-0030-7.pdf

Reference29 articles.

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2. Bradley PS, Mangasarian OL (1998) Feature selection via concave minimization and support vector machines. In: Proceeding of international conference on machina learning ICML’98

3. Boser B, Guyon I, Vapnik VN (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the fifth annual workshop on computational learning theory, Kaufmann, San Mateo, pp 144–152

4. Cortes C, Vapnik VN (1995) Support vector networks. Mach Learn 20(3): 273–297

5. Cristianini N., Shawe-Taylor J (2000) Introduction to support vector machines. Cambridge University Press, Cambridge

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