Rule-based Bayesian regression.
Themistoklis BotsasLachlan Robert MasonIndranil PanPublished in: CoRR (2020)
Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- regression model
- data driven
- bayesian networks
- dirichlet process mixture
- linear regression
- expert systems
- model selection
- regression problems
- regression algorithm
- polynomial regression
- bayesian learning
- bayesian decision
- model averaging
- rule based systems
- regression method
- simple linear
- ridge regression
- bayesian analysis
- neural network
- regression analysis
- gaussian process
- posterior distribution
- support vector
- feature selection