Kernel-based regression via a novel robust loss function and iteratively reweighted least squares.
Hongwei DongLiming YangPublished in: Knowl. Inf. Syst. (2021)
Keyphrases
- loss function
- reweighted least squares
- support vector
- reproducing kernel hilbert space
- gradient boosting
- pairwise
- logistic regression
- regression model
- support vector machine
- support vector regression
- learning to rank
- cross validation
- risk minimization
- hinge loss
- boosting framework
- kernel methods
- linear regression
- hyperplane
- regularization term
- model selection
- empirical risk
- kernel function
- boosting algorithms
- regression method
- knn
- aggregating algorithm
- feature selection