Transformations of Gaussian Process Priors.
Roderick Murray-SmithBarak A. PearlmutterPublished in: Deterministic and Statistical Methods in Machine Learning (2004)
Keyphrases
- gaussian process
- bayesian framework
- gaussian processes
- hyperparameters
- dynamical models
- gaussian process regression
- approximate inference
- prior knowledge
- gaussian process classification
- prior information
- maximum a posteriori
- regression model
- semi supervised
- model selection
- covariance function
- latent variables
- gaussian process models
- dynamical model
- sparse approximations
- generative model
- dirichlet process
- expectation propagation
- posterior distribution
- bayesian inference
- marginal likelihood
- maximum likelihood
- similarity measure