Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory.
Sergey OladyshkinFarid MohammadiIlja KrökerWolfgang NowakPublished in: Entropy (2020)
Keyphrases
- information theory
- gaussian process
- active learning
- gaussian processes
- semi supervised
- hyperparameters
- marginal likelihood
- information theoretic
- random sampling
- fully bayesian
- gaussian process regression
- posterior distribution
- regression model
- expectation propagation
- model selection
- bayesian inference
- approximate inference
- latent variables
- bayesian methods
- bayesian framework
- machine learning
- maximum likelihood
- supervised learning
- em algorithm
- bayesian networks
- posterior probability
- learning process
- cost sensitive
- gaussian process models
- noisy images
- missing values
- upper bound
- learning algorithm