Feature Selection via Co-regularized Sparse-Group Lasso.
Paula L. Amaral SantosSultan ImangaliyevKlamer SchutteEvgeni LevinPublished in: MOD (2016)
Keyphrases
- group lasso
- multi task
- feature selection
- sparsity inducing
- variable selection
- structured sparsity
- regression model
- multiple kernel learning
- multi label learning
- multi task learning
- mixed norm
- efficient optimization
- model selection
- contingency tables
- dimension reduction
- regularization term
- learning tasks
- low rank
- multi class
- convex optimization
- feature set
- text categorization
- learning problems
- regression problems
- text classification
- linear models
- gaussian processes
- high dimensional
- high dimensionality
- feature space
- support vector
- dimensionality reduction
- least squares
- linear combination
- regularization parameter
- support vector machine
- feature subset
- transfer learning
- knn
- cross validation
- energy function
- total least squares
- high dimensional data
- machine learning