Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin?
Megh ShuklaPublished in: WACV (2022)
Keyphrases
- sparse bayesian learning
- decision theory
- dempster shafer
- gaussian processes
- inherent uncertainty
- data driven
- bayesian learning
- model selection
- regression model
- regression method
- support vector
- regression analysis
- regression problems
- uncertain data
- linear regression
- edge detection
- expected utility
- bayesian estimation
- relevance vector machine
- support vector regression
- bayesian inference
- posterior probability
- maximum likelihood
- gradient direction
- regression function
- bayesian decision
- feature space