Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy.
Jian WangHuaqing ZhangJunze WangYifei PuNikhil R. PalPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- group lasso
- multi task
- feature selection
- neural network
- variable selection
- multiple kernel learning
- regression model
- mixed norm
- multi task learning
- regularization term
- multi label learning
- efficient optimization
- contingency tables
- regression problems
- model selection
- multi class
- learning tasks
- linear models
- dimension reduction
- low rank
- text classification
- text categorization
- feature set
- support vector
- information gain
- convex optimization
- transfer learning
- gaussian processes
- linear combination
- knn
- classification accuracy
- learning problems
- cross validation
- feature extraction
- feature space
- regularization parameter
- hyperparameters
- cost function
- total variation
- semi supervised