Multi-label Feature Selection via Global Relevance and Redundancy Optimization.
Jia ZhangYidong LinMin JiangShaozi LiYong TangKay Chen TanPublished in: IJCAI (2020)
Keyphrases
- multi label
- text categorization
- feature selection
- convex relaxation
- text classification
- multi label classification
- multi label learning
- feature selections
- image classification
- multi instance
- image annotation
- binary classification
- learning tasks
- graph cuts
- knn
- protein function prediction
- class labels
- machine learning
- feature extraction
- feature set
- k nearest neighbor
- hierarchical text categorization
- information retrieval
- label space
- multiple labels
- naive bayes
- relevance feedback
- cost sensitive
- feature space
- neural network
- image segmentation
- training data
- information extraction
- multi class
- small number
- classification algorithm
- nearest neighbor