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Variational Gaussian process classifiers

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2 Author(s)
Gibbs, M.N. ; Cavendish Lab., Cambridge Univ., UK ; MacKay, D.J.C.

Gaussian processes are a promising nonlinear regression tool, but it is not straightforward to solve classification problems with them. In the paper the variational methods of Jaakkola and Jordan (2000) are applied to Gaussian processes to produce an efficient Bayesian binary classifier.

Published in:

Neural Networks, IEEE Transactions on  (Volume:11 ,  Issue: 6 )

Date of Publication:

Nov 2000

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