Towards Scalable Gaussian Process Modeling.
Piyush PanditaJesper KristensenLiping WangPublished in: CoRR (2019)
Keyphrases
- gaussian process
- bayesian modeling
- gaussian processes
- gaussian process models
- bayesian framework
- model selection
- gaussian process classification
- dynamical models
- approximate inference
- gaussian process regression
- regression model
- dynamical model
- covariance function
- semi supervised
- hyperparameters
- sparse approximations
- marginal likelihood
- latent variables
- expectation propagation
- support vector
- dynamic bayesian networks
- particle filter
- data streams