A smoothed monotonic regression via L2 regularization.
Oleg SysoevOleg BurdakovPublished in: Knowl. Inf. Syst. (2019)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- regression model
- linear regression
- parameter selection
- gradient boosting
- locally weighted
- regression problems
- model selection
- polynomial regression
- regression method
- regression algorithm
- regularization parameter
- support vector regression
- kernel methods
- regression analysis
- regularization method
- ridge regression
- sparse bayesian learning
- data dependent
- partial least squares
- gaussian processes
- simple linear
- aggregating algorithm
- knn
- projection operator