Comparison of base classifiers for multi-label learning.
Edward Kien Yee YappXiang LiWen Feng LuPuay Siew TanPublished in: Neurocomputing (2020)
Keyphrases
- multi label learning
- ensemble pruning
- base classifiers
- base learners
- multi class
- ensemble methods
- multi label
- ensemble learning
- decision trees
- naive bayes
- random forest
- semi supervised
- image processing
- scene classification
- text categorization
- semi supervised learning
- labeled data
- class labels
- test data
- cost sensitive
- training samples
- negative matrix factorization
- unlabeled data
- data mining
- text classification
- information extraction
- meta learning
- multi label classification
- active learning
- label propagation