Derivative-based regularization for regression.
Enrico LopedotoMaksim ShekhunovVitaly AksenovKizito SalakoTillman WeydePublished in: CoRR (2024)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- regression model
- polynomial regression
- model selection
- linear regression
- regression method
- parameter selection
- kernel methods
- ridge regression
- support vector regression
- regression algorithm
- regression methods
- gradient boosting
- aggregating algorithm
- regularization method
- locally weighted
- simple linear
- regularization parameter
- prior information
- square loss
- projection operator
- data sets
- real valued functions
- regularization methods
- partial least squares
- regression analysis
- gaussian processes
- loss function
- support vector
- multiscale