An approximation of the Gaussian RBF kernel for efficient classification with SVMs-Reference-Cited by-同舟云学术

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An approximation of the Gaussian RBF kernel for efficient classification with SVMs

Published:2016-12 Issue: Volume:84 Page:107-113
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Ring Matthias,Eskofier Bjoern M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Support-vector networks;Cortes;Mach. Learn.,1995

2. Sparseness of support vector machines;Steinwart;J. Mach. Learn. Res.,2003

3. Sparseness of support vector machines—some asymptotically sharp bounds;Steinwart,2004

4. Simplified support vector decision rules;Burges,1996

5. Exact simplification of support vector solutions;Downs;J. Mach. Learn. Res.,2001

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