Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels.
Can GaoJie ZhouDuoqian MiaoXiaodong YueJun WanPublished in: CoRR (2021)
Keyphrases
- partially labeled data
- attribute reduction
- rough sets
- semi supervised
- rough set theory
- loss function
- granular computing
- active learning
- co training
- fuzzy rough sets
- decision table
- support vector machine
- decision rules
- unlabeled data
- supervised learning
- labeled data
- parallel particle swarm optimization
- discernibility matrix
- concept lattice
- labeled examples
- fuzzy sets
- pairwise
- semi supervised learning
- information entropy
- data analysis
- dominance relation
- unlabeled examples
- multi class
- conditional random fields
- label propagation
- data reduction
- pattern recognition
- computer vision
- clustering algorithm
- neural network
- data mining
- unsupervised learning
- approximation spaces
- similarity measure
- preprocessing
- fuzzy logic
- text classification