Low-Level and Successive Large-Level Excursions of a Stationary Gaussian Process
Van Minh NguyenPublished in: CoRR (2012)
Keyphrases
- gaussian process
- low level
- gaussian processes
- regression model
- bayesian framework
- gaussian process regression
- semi supervised
- high level
- model selection
- dynamical model
- approximate inference
- gaussian process classification
- hyperparameters
- latent variables
- covariance function
- sparse approximations
- expectation propagation
- gaussian process models
- data sets
- missing values
- bayesian networks
- data mining