Gaussian process dynamic programming.
Marc Peter DeisenrothCarl Edward RasmussenJan PetersPublished in: Neurocomputing (2009)
Keyphrases
- gaussian process
- dynamic programming
- gaussian processes
- regression model
- model selection
- gaussian process regression
- gaussian process classification
- approximate inference
- bayesian framework
- hyperparameters
- latent variables
- semi supervised
- expectation propagation
- covariance function
- dynamical model
- gaussian process models
- state space
- stereo matching
- marginal likelihood
- data sets
- training data
- sparse approximations
- worst case
- bayesian networks
- image segmentation