Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- regression model
- bayesian learning
- model selection
- maximum likelihood
- hough transform
- linear regression
- support vector regression
- bayesian networks
- data driven
- regression problems
- regression function
- regression algorithm
- model averaging
- decision theory
- bayesian methods
- bayesian inference
- bayesian estimation
- ridge regression
- locally weighted
- harmonic functions
- dirichlet process mixture
- learning algorithm
- simple linear
- regression methods
- posterior distribution
- maximum entropy
- support vector