A new feature selection approach based on ensemble methods in semi-supervised classification.
Nesma SettoutiMohammed Amine ChikhVincent BarraPublished in: Pattern Anal. Appl. (2017)
Keyphrases
- semi supervised classification
- ensemble methods
- feature selection
- feature subset
- ensemble feature selection
- semi supervised learning
- ensemble learning
- unlabeled data
- semi supervised
- decision trees
- prediction accuracy
- benchmark datasets
- text categorization
- labeled data
- machine learning methods
- base classifiers
- machine learning
- text classification
- feature set
- feature extraction
- multi class
- classification accuracy
- active learning
- genetic algorithm ga
- support vector
- binary classification
- base learners
- feature space
- unsupervised learning
- model selection
- supervised classification
- pairwise constraints
- pairwise
- cross validation
- classification models
- data sets
- learning process
- neural network