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B. Schölkopf, C. Burges, and V. Vapnik (1995)

Extracting support data for a given task

In: Proceedings, First International Conference on Knowledge Discovery & Data Mining, ed. by U. M. Fayyad and R. Uthurusamy, Menlo Park, AAAI Press.

This paper reports that different SV classifiers constructed by using different kernels (polynomial , RBF, neural net) extract the same Support Vectors. In addition, it is empirically shown that VC dimension arguments can be used to predict the optimal degree for polynomial kernels.

by admin last modified 2007-01-31 11:07

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