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" M. Song. Dimensionality Reduction via Sparse Support Vector Machines. Journal of Machine Learning Research, 3: 1229-1243, March 2003. "
Support Vector Machines for Pattern Classification - Page 321
by Shigeo Abe - 2005 - 343 pages
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Kernel Methods in Computational Biology

Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert - 2004 - 428 pages
...Shindyalov, and PE Bourne. The protein data bank. Nucleic Acids Research, 28:235-242, 2000. J. Bi, K. Bennett, M. Embrechts, C. Breneman, and M. Song. Dimensionality...vector machines. Journal of Machine Learning Research, 3:1229 1243, 2003. Special issue on variable and feature selection. SD Black and DR Mould. Development...
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Computational Methods of Feature Selection

Huan Liu, Hiroshi Motoda - 2007 - 440 pages
...fact lighter than that of any of the benchmark methods. References [1] J. Bi, K. Bennett, M. Embrects, C. Breneman, and M. Song. Dimensionality reduction...vector machines. Journal of Machine Learning Research, 3:1229-1243, March 2003. [2] A. Borisov, V. Eruhimov, and E. Tuv. Dynamic soft feature selection for...
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Artificial Neural Networks - ICANN 2007: 17th International Conference ...

Joaquim Marques de Sá, Luis A. Alexandre, Wlodzislaw Duch, Danilo Mandic - 2007 - 980 pages
...161-170. Springer, Heidelberg (2006) 9. Bi, J., Bennett, KP, Embrechts, M., Breneman, CM, Song, M.: Dimensionality Reduction via Sparse Support Vector Machines. Journal of Machine Learning Research 3, 1229-1243 (2003) 10. Kohavi, R., John, GH: Wrappers for Feature Selection. Artificial Intelligence...
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Data Mining and Mathematical Programming

Panos M. Pardalos, Pierre Hansen - 2008 - 252 pages
...optimization and machine learning research, J. Mach. Learn. Res. 7 (2006), 1265-1281. 5. J. Bi, K. Bennett, M. Embrechts, C. Breneman, and M. Song, Dimensionality reduction via sparse support vector machines, J. Mach. Learn. Res. 3 (2003), 1229—1243. 6. J. Bracken and J. McGill, Mathematical programs with...
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Visual Data Mining: Theory, Techniques and Tools for Visual Analytics

Simeon Simoff, Michael H. Böhlen, Arturas Mazeika - 2008 - 417 pages
...sage data. Genome Biology 3(12) (2002) 7. Bi, J., Bennett, K., Embrechts, M., Breneman, C., Song, M.: Dimensionality reduction via sparse support vector machines. Journal of Machine Learning Research 3 (2003) 8. Brown, M., Grundy, W., Lin, D., Christianini, N., Sugnet, C., Furey, T., Ares Jr., M.,...
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