Variational Gaussian process classifiers.
Mark N. GibbsDavid J. C. MacKayPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- gaussian process
- kernel logistic regression
- gaussian processes
- hyperparameters
- approximate inference
- gaussian process regression
- regression model
- bayesian framework
- model selection
- semi supervised
- gaussian process classification
- support vector
- training data
- latent variables
- expectation propagation
- variational methods
- decision trees
- free energy
- sparse approximations
- image segmentation
- bayesian inference
- cross validation
- covariance function
- feature selection
- maximum likelihood
- pairwise
- training set
- marginal likelihood
- closed form