Uncertainty Regularized Evidential Regression.
Kai YeTiejin ChenHua WeiLiang ZhanPublished in: CoRR (2024)
Keyphrases
- belief functions
- dempster shafer
- regression model
- regression analysis
- linear regression
- classification and regression problems
- regression algorithm
- simple linear
- possibility theory
- model selection
- support vector
- artificial intelligence
- robust optimization
- inherent uncertainty
- database
- kernel function
- partial least squares
- genetic algorithm
- gaussian process regression
- machine learning
- ridge regression
- data sets