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16

ICANN
2001
Springer

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The Bayesian Committee Support Vector Machine

13 years 8 months ago

The Bayesian Committee Support Vector Machine

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Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales linearly in the number of training data points. We verify the good performance of the BC-SVM using several data sets.

Anton Schwaighofer, Volker Tresp

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Added	29 Jul 2010
Updated	29 Jul 2010
Type	Conference
Year	2001
Where	ICANN
Authors	Anton Schwaighofer, Volker Tresp

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