Feature Selection for Support Vector Machines Using Genetic Algorithms

Fröhlich, H; Chapelle, O; Schölkopf, B

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Feature Selection for Support Vector Machines Using Genetic Algorithms

Fröhlich, H., Chapelle, O., & Schölkopf, B. (2004). Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools (Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003), 13(4), 791-800. Retrieved from http://www.worldscinet.com/ijait/13/1304/S0218213004001818.html.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DA61-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DA62-5

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Fröhlich, H, Author
Chapelle, O¹, Author
Schölkopf, B¹, Author

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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795

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Dates: Date issued: 2004

Publication Status: Issued

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Identifiers: URI: http://www.worldscinet.com/ijait/13/1304/S0218213004001818.html
BibTex Citekey: 3166

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Title: International Journal on Artificial Intelligence Tools (Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003)

Source Genre: Journal

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Pages: - Volume / Issue: 13 (4) Sequence Number: - Start / End Page: 791 - 800 Identifier: -