Bayesian Distribution Regression.
Ho Chung Leon LawDanica J. SutherlandDino SejdinovicSeth R. FlaxmanPublished in: CoRR (2017)
Keyphrases
- sparse bayesian learning
- gaussian processes
- regression model
- data driven
- probability distribution
- bayesian networks
- maximum likelihood
- posterior probability
- bayesian learning
- prior distribution
- expected error
- relevance vector machine
- random variables
- probability density function
- bayesian inference
- posterior distribution
- spatial distribution
- partial least squares