Hierarchical Gaussian process mixtures for regression.
Jian Qing ShiRoderick Murray-SmithD. M. TitteringtonPublished in: Stat. Comput. (2005)
Keyphrases
- gaussian process
- regression model
- gaussian processes
- gaussian process regression
- model selection
- covariance function
- sparse approximations
- hyperparameters
- gaussian process classification
- mixture model
- gaussian process models
- conditional distribution
- bayesian framework
- bayesian nonparametric
- approximate inference
- expectation propagation
- latent variables
- support vector
- latent space
- semi supervised
- marginal likelihood
- incremental learning
- probabilistic model
- bayesian methods
- parameter estimation
- cross validation
- training data