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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.