 | 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,... | |
 | 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,... | |
 | Alexander J. Smola - 2000 - 436 pages
...Neural Information Processing Systems, volume 2, pages 186-193. Morgan Kaufmann, San Mateo, CA, 1990. 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),... | |
 | 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,... | |
 | 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...concave minimization and support vector machines. In J. Shavlik, editor, Machine Learning Proceedings of the Fifteenth International Conference(ICML '98),... | |
 | 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]... | |
 | 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...concave minimization and support vector machines. In J. Shavlik, editor, Machine Learning Proceedings of the Fifteenth International ConferencedCML '98),... | |
 | E.W. Sachs, R. Tichatschke - 2003 - 348 pages
...discrimination of two linearly inseparable sets. Optimization Methods and Software, 1:23-34, 1992. [3] 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),... | |
 | Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert - 2004 - 428 pages
...Stanford University, Stanford, CA. Available from http://www.stanford.edu/class/ee364. August 2001. 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),... | |
 | 2005 - 594 pages
...FrieB, N. Cristianini and C. Campbell, "The Kernel- Adatron: a Fast and Simple Learning Procedure for Support Vector Machines," in Proceedings of the Fifteenth International Conference on Machine Learning, J. Shavlik Ed, 1998pp. 188-196. [9]. J. H Holland, Adaptation in Natural and Artificial Systems. University... | |
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PS Bradley and OL Mangasarian. Feature selection via concave minimization and support vector machines. In J. 