Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent.
Jan KlosaNoah SimonPål O. WestermarkVolkmar LiebscherDörte WittenburgPublished in: BMC Bioinform. (2020)
Keyphrases
- group lasso
- regression model
- variable selection
- structured sparsity
- regularization term
- mixed norm
- multi task
- efficient optimization
- multiple kernel learning
- multi label learning
- contingency tables
- low rank
- linear regression model
- regression analysis
- cost function
- multi task learning
- convex optimization
- loss function
- regression problems
- objective function
- high dimensional
- model selection
- machine learning
- regularization parameter
- learning problems
- linear models
- energy functional
- dimension reduction
- cross validation
- image restoration
- missing data