Variational Gaussian process classifiers 论文
2000IEEE Transactions on Neural Networks引用 223
Gaussian Processes and Bayesian InferenceFault Detection and Control SystemsTarget Tracking and Data Fusion in Sensor Networks
摘要
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.