Active learning of constraints for weighted feature selection.
Samah HijaziDenis HamadMariam KalakechAli KalakechPublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- active learning
- feature selection
- selective sampling
- imbalanced data classification
- machine learning
- feature extraction
- experimental design
- feature selection algorithms
- random sampling
- constraint satisfaction
- text categorization
- support vector
- learning strategies
- learning process
- constrained optimization
- feature set
- semi supervised
- training examples
- mutual information
- constraint programming
- feature subset
- information gain
- supervised learning
- relevance feedback
- multi class
- linear constraints
- objective function
- neural network