Variational Gaussian Process Classifiers

David J C MacKay and Mark N Gibbs

Gaussian processes are a promising non-linear interpolation tool \cite{williams:95,williams_rasmussen:96}, but it is not straightforward to solve classification problems with them. In this paper the variational methods of \citeasnoun{jaakkola_jordan:bounds} are applied to Gaussian processes to produce an efficient Bayesian binary classifier.

Submitted to IEEE Transactions on Neural Networks

postscript (Cambridge UK).

postscript (Canada mirror).

David MacKay's: home page, publications. bibtex file.
Canadian mirrors: home page, publications. bibtex file.