Radial basis function kernel: Difference between revisions

Revision as of 19:51, 18 April 2014

Revision as of 09:47, 8 July 2014

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{{merge to|Gaussian function|discuss=Talk:Gaussian function#Proposed merge with Radial basis function kernel|date=April 2014}}

In [[machine learning]], the ('''Gaussian''') '''[[radial basis function]] kernel''', or '''RBF kernel''', is a popular [[Positive-definite kernel|kernel function]] used in [[support vector machine]] [[statistical classification|classification]].<ref name="Chang2010">Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard and Chih-Jen Lin (2010). ''Training and testing low-degree polynomial data mappings via linear SVM''. J. Machine Learning Research '''11''':1471–1490.</ref>