Sparse kernel SVMs via cutting-plane training

Author:

Joachims Thorsten,Yu Chun-Nam John

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference20 articles.

1. Bach, F., & Jordan, M. (2005). Predictive low-rank decomposition for kernel methods. In ICML (pp. 33–40).

2. Bordes, A., Ertekin, S., Weston, J., & Bottou, L. (2005). Fast kernel classifiers with online and active learning. JMLR, 6, 1579–1619.

3. Burges, C. (1996). Simplified support vector decision rules. In ICML (pp. 71–77).

4. Burges, C., & Schölkopf, B. (1997). Improving the accuracy and speed of support vector learning machines. NIPS, 9, 375–381.

5. Fine, S., & Scheinberg, K. (2001). Efficient SVM training using low-rank kernel representations. JMLR, 2, 243–264.

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