Fast training of Support Vector Machines with Gaussian kernel

Author:

Fischetti Matteo

Funder

University of Padova

MiUR, Italy

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Theoretical Computer Science

Reference6 articles.

1. V. Vapnik, The support vector method, in: ICANN97, 1997, pp. 263–271.

2. Comparing support vector machines with gaussian kernels to radial basis function classifiers;Schölkopf;IEEE Trans. Signal Process.,1997

3. Supervised classification and mathematical optimization;Carrizosa;Comput. OR,2013

4. The Elements of Statistical Learning: Data Mining, Inference and Prediction;Hastie,2001

5. A computational analysis of optimization models for support vector machines;Petterle,2012

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