Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.
Can GaoJie ZhouDuoqian MiaoXiaodong YueJun WanPublished in: Inf. Sci. (2021)
Keyphrases
- dominance relation
- rough sets
- partially labeled data
- attribute reduction
- semi supervised
- rough set theory
- granular computing
- loss function
- discernibility matrix
- active learning
- co training
- support vector machine
- labeled data
- fuzzy sets
- unlabeled data
- fuzzy rough sets
- decision rules
- labeled examples
- semi supervised learning
- data mining
- decision table
- information entropy
- parallel particle swarm optimization
- label propagation
- unlabeled examples
- supervised learning
- concept lattice
- data analysis
- conditional random fields
- training set
- pattern recognition
- training data
- artificial intelligence
- learning algorithm
- machine learning
- neural network