Bayesian Tensor Regression.
Rajarshi GuhaniyogiShaan QamarDavid B. DunsonPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- sparse bayesian learning
- gaussian processes
- regression model
- relevance vector machine
- high order
- higher order
- data driven
- bayesian learning
- locally weighted
- regression analysis
- bayesian networks
- diffusion tensor
- maximum likelihood
- polynomial regression
- support vector regression
- model selection
- bayesian estimation
- simple linear
- tensor factorization
- model averaging
- dirichlet process mixture
- bayesian inference
- bayesian decision
- dimensionality reduction