Machine Learning via Polyhedral Concave Minimization-Reference-Cited by-同舟云学术

Machine Learning via Polyhedral Concave Minimization

Published:1996 Issue: Volume: Page:175-188
ISSN:
Container-title:Applied Mathematics and Parallel Computing
language:
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Author:

Mangasarian O. L.

Publisher

Physica-Verlag HD

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-99789-1_13.pdf

Reference30 articles.

1. K. P. Bennett and E. J. Bredensteiner. A parametric optimization method for machine learning. Department of Mathematical Sciences Math Report No. 217, Rensselaer Polytechnic Institute, Troy, NY 12180, 1994. ORSA Journal on Computing, submitted.

2. K. P. Bennett and O. L. Mangasarian. Robust linear programming discrimination of two linearly inseparable sets. Optimization Methods and Software, 1: 23–34, 1992.

3. P. S. Bradley, O. L. Mangasarian, and W. N. Street. Feature selection via mathematical programming. Technical report, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, 1995. To appear.

4. E. J. Bredensteiner and K. P. Bennett. Feature minimization within decision trees. Department of Mathematical Sciences Math Report No. 218, Rensselaer Polytechnic Institute, Troy, NY 12180, 1995.

5. A. Brooke, D. Kendrick, and A. Meeraus. GAMS: A User’s Guide. The Scientific Press, South San Francisco, CA, 1988.

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