Feature selection for multi-label learning based on kernelized fuzzy rough sets.
Yuwen LiYaojin LinJinghua LiuWei WengZhenkun ShiShunxiang WuPublished in: Neurocomputing (2018)
Keyphrases
- multi label learning
- fuzzy rough sets
- feature selection
- multi label
- rough sets
- text categorization
- text classification
- attribute reduction
- label propagation
- fuzzy sets
- semi supervised
- labeled data
- support vector
- feature space
- fuzzy relations
- rough approximations
- dimensionality reduction
- kernel function
- support vector machine
- knn
- markov random field
- feature set
- unsupervised learning
- scene classification
- multi class
- decision rules
- rough set theory
- fuzzy clustering
- graph cuts
- negative matrix factorization
- multi task
- naive bayes
- unlabeled data
- fuzzy logic
- data points
- high dimensional
- pairwise
- pattern recognition
- feature extraction
- image processing