Feature Selection Based on Structured Sparsity: A Comprehensive Study.
Jie GuiZhenan SunShuiwang JiDacheng TaoTieniu TanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2017)
Keyphrases
- structured sparsity
- feature selection
- group sparsity
- statistical learning
- group lasso
- learning problems
- compressive sensing
- multi task
- sparsity inducing
- feature set
- machine learning
- text categorization
- convex optimization problems
- support vector
- mutual information
- feature space
- information gain
- variable selection
- support vector machine
- information theory
- regularization methods
- model selection
- feature selection and classification
- dimensionality reduction
- high dimensional
- high dimensionality
- text classification
- objective function
- multi class