Gaussian Process Modeling Using the Principle of Superposition.
Matthias H. Y. TanGuilin LiPublished in: Technometrics (2019)
Keyphrases
- gaussian process
- gaussian processes
- bayesian modeling
- gaussian process models
- regression model
- approximate inference
- semi supervised
- model selection
- gaussian process regression
- dynamical models
- bayesian framework
- latent variables
- gaussian process classification
- covariance function
- hyperparameters
- dynamical model
- expectation propagation
- marginal likelihood
- sparse approximations
- em algorithm
- free energy
- worst case
- learning algorithm