regularized least squares regression.
Jinshan ZengZhimin PengShaobo LinPublished in: J. Comput. Appl. Math. (2017)
Keyphrases
- regularized least squares
- reproducing kernel hilbert space
- support vector regression
- regression model
- sparse representation
- loss function
- kernel methods
- support vector
- learning theory
- data dependent
- density estimation
- gaussian process
- machine learning
- data sets
- euclidean space
- domain adaptation
- input space
- regularization term
- kernel function
- special case