Optimization Methods in Massive Data Sets

Author:

Bradley P. S.,Mangasarian O. L.,Musicant D. R.

Publisher

Springer US

Reference59 articles.

1. K. P. Bennett: Combining support vector and mathematical programming methods for induction. Technical report, Department of Mathematical Sciences, Rensselaer Polytechnic Institute, 1998.

2. K. P. Bennett and J. A. Blue: A support vector machine approach to decision trees. In Proceedings of IJCNN’98, pages 2396–2401, 1997.

3. K. P. Bennett, D. Hui, and L. Auslender: On support vector decision trees for database marketing. Technical Report 98–100, Department of Mathematical Sciences, Rensselaer Polytechnic Institute, 1998.

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

5. B. E. Boser, I. M. Guyon, and V. N. Vapnik: A training algorithm for optimal margin classifiers. In D. Haussier, editor, Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, pages 144–152. ACM Press, 1992.

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