Feature Selection for Neural Networks Using Group Lasso Regularization.
Huaqing ZhangJian WangZhanquan SunJacek M. ZuradaNikhil R. PalPublished in: IEEE Trans. Knowl. Data Eng. (2020)
Keyphrases
- group lasso
- feature selection
- multi task
- neural network
- variable selection
- multiple kernel learning
- regression model
- mixed norm
- multi label learning
- regularization term
- efficient optimization
- multi task learning
- contingency tables
- model selection
- multi class
- regression problems
- low rank
- dimension reduction
- convex optimization
- linear models
- cross validation
- transfer learning
- feature extraction
- information gain
- machine learning
- learning tasks
- multi label
- text categorization
- text classification
- support vector machine
- knn
- support vector
- high dimensionality
- learning problems
- semi supervised
- feature subset
- regularization parameter
- gaussian processes
- kernel methods
- feature set
- feature space