Feature Selection for SVMs

Weston, J; Mukherjee, S; Chapelle, O; Pontil , M; Poggio, T; Vapnik, V

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Feature Selection for SVMs

Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T., & Vapnik, V. (2001). Feature Selection for SVMs. In T. Leen, T. Dietterich, & V. Tresp (Eds.), Advances in Neural Information Processing Systems 13 (pp. 668-674). Cambridge, MA, USA: MIT Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E2AC-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-97F5-B

Genre: Conference Paper

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https://papers.nips.cc/paper/1850-feature-selection-for-svms.pdf (Publisher version) Open Access status unknown

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Creators:
Weston, J¹, Author
Mukherjee, S, Author
Chapelle, O¹, Author
Pontil , M, Author
Poggio, T, Author
Vapnik, V, Author

Affiliations:
1External Organizations, ou_persistent22

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Abstract: We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This search can be efficiently performed via gradient descent. The resulting algorithms are shown to be superior to some standard feature selection algorithms on both toy data and real-life problems of face recognition, pedestrian detection and analyzing DNA microarray data.

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Dates: Date issued: 2001-04

Publication Status: Issued

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Identifiers: BibTex Citekey: 2164

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Title: Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000)

Place of Event: Denver, CO, USA

Start-/End Date: 2000-11-27 - 2000-12-02

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Title: Advances in Neural Information Processing Systems 13

Source Genre: Proceedings

Creator(s):
Leen, TK, Editor
Dietterich, TG, Editor
Tresp, V, Editor

Affiliations:
-

Publ. Info: Cambridge, MA, USA : MIT Press

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 668 - 674 Identifier: ISBN: 0-262-12241-3