Gaussian Process Vine Copulas for Multivariate Dependence.
David Lopez-PazJosé Miguel Hernández-LobatoZoubin GhahramaniPublished in: ICML (2) (2013)
Keyphrases
- gaussian process
- dependence structure
- gaussian processes
- regression model
- marginal distributions
- approximate inference
- gaussian process regression
- bayesian framework
- model selection
- semi supervised
- hyperparameters
- dynamical model
- latent variables
- covariance function
- gaussian process classification
- expectation propagation
- joint distribution
- gaussian process models
- marginal likelihood
- sparse approximations
- random variables
- graphical models
- active learning
- higher order
- human pose estimation
- probability distribution
- prior knowledge
- training set
- support vector
- data mining