Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
Mark A. GirolamiSimon RogersPublished in: Neural Comput. (2006)
Keyphrases
- gaussian process
- gaussian processes
- dirichlet process
- regression model
- expectation propagation
- bayesian framework
- variational inference
- multi task learning
- latent variables
- model selection
- probabilistic model
- approximate inference
- hyperparameters
- exponential family
- semi supervised
- em algorithm
- bayesian methods
- expectation maximization
- bayesian networks
- maximum likelihood
- cross validation
- markov chain monte carlo
- text classification
- prior knowledge
- probability density function
- variational methods
- machine learning