KLERC: kernel Lagrangian expectile regression calculator.
Songfeng ZhengPublished in: Comput. Stat. (2021)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- kernel regression
- classification and regression problems
- gaussian processes
- regression model
- sparse kernel
- support vector
- kernel methods
- regression method
- kernel function
- mercer kernels
- principal component regression
- regression problems
- gaussian process regression
- relevance vector machine
- feature space
- regression analysis
- support vector regression
- linear regression
- loss function
- kernel matrix
- sparse regression
- model selection
- genetic programming
- ridge regression
- kernel partial least squares
- gradient boosting
- kernel space
- kernel pca
- regression algorithm
- kernel machines
- simple linear
- machine learning
- lagrangian relaxation
- partial least squares
- input space
- face recognition
- hilbert schmidt independence criterion
- optimal solution
- least squares
- prize collecting
- maximum margin
- kernel matrices
- polynomial kernels
- regression methods
- gaussian kernels