Fast Gaussian Process Posteriors with Product Trees.
David A. MooreStuart J. RussellPublished in: UAI (2014)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- bayesian framework
- regression model
- approximate inference
- bayesian inference
- gaussian process regression
- model selection
- posterior distribution
- latent variables
- gaussian process models
- gaussian process classification
- semi supervised
- decision trees
- dynamical model
- expectation propagation
- covariance function
- posterior probability
- sparse approximations
- data sets
- error rate
- noise level
- image reconstruction
- pose estimation
- upper bound
- prior knowledge
- marginal likelihood
- lower bound