Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets.
Ying YuMing WanJin QianDuoqian MiaoZhiqiang ZhangPengfei ZhaoPublished in: Int. J. Approx. Reason. (2024)
Keyphrases
- rough sets
- decision theoretic
- multi label learning
- feature selection
- rough set theory
- granular computing
- multi label
- fuzzy sets
- plan recognition
- decision rules
- text categorization
- data mining
- pattern recognition
- fuzzy logic
- semi supervised learning
- label propagation
- feature extraction
- text classification
- unlabeled data
- machine learning
- semi supervised
- rule extraction
- support vector
- soft computing
- rough fuzzy
- data analysis
- labeled data
- decision theory
- dimensionality reduction
- control system
- expert systems
- information granules
- bayesian networks