Fast local linear regression with anchor regularization.
Mathis PetrovichMakoto YamadaPublished in: CoRR (2020)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- regression model
- discriminant analysis
- gradient boosting
- linear regression
- square loss
- partial least squares
- regularization parameter
- parameter selection
- locally weighted
- regression algorithm
- support vector regression
- aggregating algorithm
- polynomial regression
- regularization methods
- ridge regression
- loss function
- regression problems
- regression analysis
- kernel methods
- image restoration
- regularization method
- neural network
- gaussian processes
- model selection
- prior information
- sparse bayesian learning
- support vector
- regression method
- low dimensional