A Bayesian Take on Gaussian Process Networks.
Enrico GiudiceJack KuipersGiusi MoffaPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- marginal likelihood
- regression model
- bayesian framework
- hyperparameters
- expectation propagation
- gaussian process regression
- model selection
- fully bayesian
- latent variables
- gaussian process classification
- approximate inference
- gaussian process models
- semi supervised
- maximum likelihood
- covariance function
- bayesian methods
- posterior distribution
- bayesian networks
- bayesian inference
- sparse approximations
- posterior probability
- decision trees
- human pose estimation
- data sets
- support vector
- closed form
- density estimation
- random sampling