Double fused Lasso penalized LAD for matrix regression.
Mei LiLingchen KongPublished in: Appl. Math. Comput. (2019)
Keyphrases
- model selection
- linear regression
- least squares
- ridge regression
- variable selection
- regression coefficients
- regression model
- regression problems
- cross validation
- group lasso
- regression methods
- low rank
- singular value decomposition
- data fusion
- generalized linear models
- information fusion
- maximum likelihood
- support vector
- matrix representation
- feature selection
- linear models
- support vector regression
- neural network
- linear algebra
- multiple features
- regression analysis
- locally weighted
- polynomial regression
- regularized regression