Bayesian Dyadic Trees and Histograms for Regression.
Stéphanie van der PasVeronika RockováPublished in: NIPS (2017)
Keyphrases
- sparse bayesian learning
- gaussian processes
- regression model
- relevance vector machine
- regression trees
- decision trees
- tree induction
- bayesian learning
- bayesian networks
- tree structure
- tree ensembles
- simple linear
- linear regression
- model averaging
- ridge regression
- bayesian estimation
- locally weighted
- model selection
- maximum likelihood
- data driven
- dirichlet process mixture
- polynomial regression
- regression analysis
- support vector regression
- bayesian inference
- tree models
- regression problems
- classification and regression trees
- regression algorithm
- decision theory
- bayesian methods
- particle filter
- multiresolution
- similarity measure