Dual feature reduction for the sparse-group lasso and its adaptive variant.
Fabio FeserMarina EvangelouPublished in: CoRR (2024)
Keyphrases
- group lasso
- feature reduction
- variable selection
- regression model
- efficient optimization
- multi label learning
- contingency tables
- multiple kernel learning
- low rank
- multi task
- convex optimization
- random forest
- regularization term
- rough sets
- feature set
- text categorization
- linear discriminant analysis
- reduction method
- classification accuracy
- neural network
- linear combination
- image features
- support vector machine
- high dimensional
- feature extraction