Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- neural network
- regression model
- bayesian learning
- bayesian estimation
- linear regression
- support vector regression
- posterior distribution
- dirichlet process mixture
- regression algorithm
- posterior probability
- bayesian networks
- bayesian decision
- bayesian inference
- polynomial regression
- data driven
- model averaging
- locally weighted
- regression problems
- gaussian process regression
- partial least squares
- bayesian methods
- regression analysis
- learning algorithm