Subspace screening rule for multi-label estimator with sparsity-inducing regularization.
Peiwei ZhongYitian XuPublished in: Neurocomputing (2023)
Keyphrases
- multi class
- multi label
- sparsity inducing
- structured sparsity
- multi label classification
- group lasso
- multi label learning
- variable selection
- sparse learning
- multi task
- binary classification
- text categorization
- graph cuts
- learning tasks
- image classification
- high dimensional
- learning problems
- feature space
- least squares
- text classification
- pairwise
- low dimensional
- class labels
- maximum likelihood
- high dimensional data
- feature extraction
- principal component analysis
- cross validation
- maximum a posteriori
- semi supervised learning
- markov random field
- higher order
- small number
- semi supervised