regularized least squares regression" [J. Comput. Appl. Math. 319 (2017) 220-235].
Jinshan ZengZhimin PengShaobo LinPublished in: J. Comput. Appl. Math. (2018)
Keyphrases
- regularized least squares
- reproducing kernel hilbert space
- support vector regression
- regression model
- kernel function
- kernel methods
- loss function
- sparse representation
- support vector
- distance measure
- learning theory
- euclidean space
- special case
- regularization term
- data dependent
- learning problems
- density estimation
- domain adaptation
- machine learning
- input space
- pairwise