Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC.
Maurizio FilipponePublished in: ICPR (2014)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- expectation propagation
- posterior distribution
- gaussian processes
- markov chain monte carlo
- approximate inference
- variational inference
- probabilistic model
- prior information
- variational bayes
- training data
- support vector
- bayesian methods
- bayesian model
- decision trees
- feature selection
- regression model
- training set
- particle filter
- probability distribution
- monte carlo
- simulated annealing
- semi supervised
- conditional probabilities
- latent variables
- bayesian framework
- model selection
- co occurrence
- closed form