Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling.
Cheng LiSantu RanaAndrew GillDang NguyenSunil GuptaSvetha VenkateshPublished in: ICPR (2020)
Keyphrases
- gaussian process
- active learning
- gaussian processes
- semi supervised
- hyperparameters
- random sampling
- marginal likelihood
- posterior distribution
- regression model
- bayesian inference
- gaussian process regression
- fully bayesian
- expectation propagation
- latent variables
- gaussian process classification
- bayesian framework
- bayesian methods
- model selection
- covariance function
- approximate inference
- maximum likelihood
- gaussian process models
- supervised learning
- learning algorithm
- closed form
- machine learning
- cross validation
- sparse approximations
- em algorithm
- higher order
- probabilistic model
- bayesian networks
- noise level
- posterior probability
- human pose estimation
- pairwise
- sparse approximation
- training set