Variational Gaussian process classifiers
- 1 January 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 11 (6) , 1458-1464
- https://doi.org/10.1109/72.883477
Abstract
Gaussian processes are a promising nonlinear regression tool, but it is not straightforward to solve classification problems with them. In this paper the variational methods of Jaakkola and Jordan are applied to Gaussian processes to produce an efficient Bayesian binary classifier.Keywords
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