Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- dirichlet process mixture
- regression model
- data structure
- data compression
- data driven
- polynomial regression
- model selection
- support vector regression
- posterior distribution
- regression problems
- model averaging
- regression algorithm
- maximum entropy
- bayesian networks
- aggregating algorithm
- bayesian analysis
- statistical inference
- gaussian process regression
- simple linear
- image quality
- locally weighted
- file size
- bayesian learning
- compressed domain
- decision theory
- bayesian decision
- maximum likelihood
- linear regression