Multivariate Functional Regression Via Nested Reduced-Rank Regularization.
Xiaokang LiuShujie MaKun ChenPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- regression model
- kernel ridge regression
- reproducing kernel hilbert space
- linear regression
- multivariate regression
- model selection
- regression algorithm
- regression analysis
- support vector
- gradient boosting
- support vector regression
- data dependent
- multivariate data
- rank order
- mumford shah functional
- kernel methods
- regression method
- regularization method
- parameter selection
- maximum entropy discrimination
- regression methods
- partial least squares
- regression problems
- feature selection
- regularization term
- low rank
- hierarchical structure
- loss function
- least squares
- image processing