Gaussian Process Priors for View-Aware Inference.
Yuxin HouAri HeljakkaArno SolinPublished in: CoRR (2019)
Keyphrases
- gaussian process
- bayesian framework
- gaussian processes
- covariance function
- variational inference
- expectation propagation
- dirichlet process
- hyperparameters
- gaussian process regression
- regression model
- latent variables
- approximate inference
- gaussian process classification
- bayesian inference
- dynamical models
- model selection
- semi supervised
- variational bayes
- dynamical model
- prior knowledge
- sparse approximations
- gaussian process models
- bayesian networks
- prior information
- generative model
- image segmentation
- marginal likelihood
- expectation maximization
- markov chain monte carlo
- dynamic bayesian networks
- maximum a posteriori
- posterior distribution