Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification.
Ilias BilionisNicholas ZabarasBledar A. KonomiGuang LinPublished in: J. Comput. Phys. (2013)
Keyphrases
- fully bayesian
- gaussian process
- model selection
- regression model
- maximum likelihood
- bayesian framework
- semi supervised
- latent variables
- hyperparameters
- generative model
- approximate inference
- markov chain monte carlo
- active learning
- conditional probabilities
- gaussian distribution
- posterior distribution
- simulated annealing