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Books Books 1 - 10 of 17 on PS Bradley and OL Mangasarian. Feature selection via concave minimization and support....  
" 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. "
Learning with Kernels: Support Vector Machines, Regularization, Optimization ... - Page 593
by Bernhard Schölkopf, Alexander J. Smola - 2002 - 626 pages
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Advances in Neural Information Processing Systems 11: Proceedings of the ...

Michael S. Kearns, Sara A. Solla, David A. Cohn - Computers - 1999 - 1090 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 - Computers - 1999 - 376 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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Advances in Large Margin Classifiers

Alexander J. Smola - Computers - 2000 - 412 pages
...Neural Information Processing Systems, volume 2, pages 186-193. Morgan Kaufmann, San Mateo, CA, 1990. PS Bradley and OL Mangasarian. Feature selection via...Learning Proceedings of the Fifteenth International Conference (ICML '98), pages 82-90, San Francisco, CA, 1998. Morgan Kaufmann. EJ Bredensteiner. Optimization...
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Advanced Infrastructures for Future Healthcare

Andy Marsh, Lucio Grandinetti, Tuomo Kauranne - Health & Fitness - 2000 - 550 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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An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - Computers - 2000 - 189 pages
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs ...
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Complementarity: Applications, Algorithms and Extensions

Michael C. Ferris, Olvi L. Mangasarian, Jong-Shi Pang - Business & Economics - 2001 - 400 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 - Computers - 2001 - 1106 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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Handbook of Massive Data Sets

James Abello, Panos M. Pardalos, Mauricio G.C. Resende - Computers - 2002 - 1223 pages
...Computational Learning Theory, pages 144—152. ACM Press, 1992. PS Bradley and 0. L. Mangasanian. Feature selection via concave minimization and support...Learning Proceedings of the Fifteenth International Conference (ICML ‘98), pages 82—90. Morgan Kaufmann, 1998a. PS Bradley and 0. L. Mangasarian. Massive...
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System Modeling and Optimization XX

E.W. Sachs, R. Tichatschke - Computers - 2003 - 331 pages
...discrimination of two linearly inseparable sets. Optimization Methods and Software, 1:23-34, 1992. [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/mathprog/tec...
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Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia ..., Volume 7

Kyu-Young Whang - Business & Economics - 2003 - 610 pages
...features in machine learning. In Proceedings of the AAAI Fall Symposium on Relevance. AAAI Press, 1994. 8. PS Bradley and OL Mangasarian. Feature selection via...concave minimization and support vector machines. In Proceedings of Fifteenth International Conference on Machine Learning, pages 82-90, 1998. 9. MA Hall....
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