Uncertainty Regularized Evidential Regression.
Kai YeTiejin ChenHua WeiLiang ZhanPublished in: AAAI (2024)
Keyphrases
- belief functions
- dempster shafer
- regression model
- linear regression
- least squares
- regression algorithm
- model selection
- objective function
- support vector
- regression problems
- gaussian processes
- polynomial regression
- locally weighted
- regularized least squares
- support vector regression
- information systems
- uncertain data
- incomplete information
- genetic programming
- reproducing kernel hilbert space
- robust optimization
- regression method
- semi supervised
- estimation problems
- ridge regression
- data sets
- regression function
- real time
- inherent uncertainty
- database