Multi-label feature ranking with ensemble methods.
Matej PetkovicSaso DzeroskiDragi KocevPublished in: Mach. Learn. (2020)
Keyphrases
- multi label
- ensemble methods
- feature subset
- random forest
- text categorization
- ensemble learning
- feature selection
- prediction accuracy
- binary classification
- benchmark datasets
- graph cuts
- classification accuracy
- machine learning methods
- decision trees
- image classification
- multi label learning
- generalization ability
- learning tasks
- base classifiers
- genetic algorithm ga
- feature space
- text classification
- class labels
- feature selection algorithms
- base learners
- classification models
- k nearest neighbor
- feature set
- knn
- image processing
- loss function
- logistic regression
- neural network
- naive bayes
- machine learning