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" PS Bradley and OL Mangasarian. Feature selection via concave minimization and support vector machines. In J. Shavlik, editor, Machine Learning Proceedings of the Fifteenth International Conference (ICML '98), pages 82-90, San Francisco, California, 1998. "
Advances in Large Margin Classifiers - Page 391
edited by - 2000 - 412 pages
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Advances in Neural Information Processing Systems 11: Proceedings of the ...

Michael S. Kearns, Sara A. Solla, David A. Cohn - 1999 - 1122 pages
...Partially supervised clustering for image segmentation. Pattern Recognition, 29(5):859-871, 199. [5] PS Bradley and OL Mangasarian. Feature selection via...concave minimization and support vector machines. Technical Report Mathematical Programming Technical Report 98-03, University of Wisconsin-Madison,...
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Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola - 1999 - 400 pages
...Programming Technical Report 98-01, University of Wisconsin-Madison, 1998. Submitted for publication. PS Bradley and OL Mangasarian. Feature selection via...concave minimization and support vector machines. Technical Report Mathematical Programming Technical Report 98-03, University of Wisconsin-Madison,...
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Advanced Infrastructures for Future Healthcare

Andy Marsh, Lucio Grandinetti, Tuomo Kauranne - 2000 - 570 pages
...Minimization within Decision Trees, Computational Optimization and Applications 10(1998) 111 - 126. [40] PS Bradley and OL Mangasarian, Feature Selection via...Concave Minimization and Support Vector Machines, Machine Learning Proc. of the 15'" Int. Conf. (ICML 98), JW Shavlik, ed., Morgan Kaufhsann, San Francisco,...
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Complementarity: Applications, Algorithms and Extensions

Michael C. Ferris, Olvi L. Mangasarian, Jong-Shi Pang - 2001 - 420 pages
...Workshop on Computational Learning Theory, pages 144-152, Pittsburgh, PA, July 1992. ACM Press. [3] PS Bradley and OL Mangasarian. Feature selection via...Learning Proceedings of the Fifteenth International Conference(ICML '98), pages 82-90, San Francisco, California, 1998. Morgan Kaufmann. ftp://ftp.cs.wisc.edu/math-prog/te...
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Advances in Neural Information Processing Systems 13: Proceedings of the ...

Todd K. Leen, Thomas G. Dietterich, Volker Tresp - 2001 - 1136 pages
...relevant features and examples in machine learning. Artificial Intelligence, 97:245-271,, 1997. [3] PS Bradley and OL Mangasarian. Feature selection via...concave minimization and support vector machines. In Proc. 13th International Conference on Machine Learning, pages 82-90, San Francisco, CA, 1998. [4]...
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Advances in the Evolutionary Synthesis of Intelligent Agents

Mukesh Patel - 2001 - 510 pages
...Application. John Wiley and Sons, 1986. [466]WN Street. A neural network model for prognostic prediction. In J. Shavlik, editor, Machine Learning: Proceedings of the Fifteenth International Conference, pages 540-546, San Francisco, CA, 1998. Morgan Kaufmann. [467]L. Whitley and J. Schaffer, editors....
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Handbook of Massive Data Sets

James Abello, Panos M. Pardalos, Mauricio G.C. Resende - 2002 - 1244 pages
...Computational Learning Theory, pages 144—152. ACM Press, 1992. PS Bradley and 0. L. Mangasanian. Feature selection via concave minimization and support...International Conference (ICML ‘98), pages 82—90. Morgan Kaufmann, 1998a. PS Bradley and 0. L. Mangasarian. Massive data discrimination via linear support...
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Learning with Kernels: Support Vector Machines, Regularization, Optimization ...

Bernhard Schölkopf, Alexander J. Smola - 2002 - 658 pages
...Submitted. [69] RN Bracewell. The Fourier transform and its applications. McGraw-Hill, New York, 1978. [70] PS Bradley and OL Mangasarian. Feature selection via...Learning Proceedings of the Fifteenth International ConferencedCML '98), pages 82-90, San Francisco, California, 1998. Morgan Kaufmann. ftp://ftp.cs.wisc.edU/math-prog/tec...
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Advances in Neural Information Processing Systems ..., Volume 14, Issues 1-2

Thomas G. Dietterich, Suzanna Becker, Professor of Information Engineering Zoubin Ghahramani, Zoubin Ghahramani - 2002 - 856 pages
...Cambridge, 2000. [7] Y. Freund and RE Schapire. Large margin classification using the perceptron algorithm. In J. Shavlik, editor, Machine Learning: Proceedings of the Fifteenth international Conference, San Francisco, CA, 1998. Morgan Kaufmann. [8] F. Girosi, M. Jones, and T. Poggio. Regularization theory...
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Least Squares Support Vector Machines

Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter - 2002 - 318 pages
...and Control Theory, SIAM Studies in Applied Mathematics 15. [30] Bradley PS, Mangasarian OL (1998) "Feature selection via concave minimization and support vector machines", In: J. Shavlik (Ed.), Machine Learning Proc. of the Fifteenth Int. Conf. (ICML '98), Morgan Kaufmann, San Francisco,...
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