Tackling the supervised label ranking problem by bagging weak learners.
Juan A. AledoJosé A. GámezDavid MolinaPublished in: Inf. Fusion (2017)
Keyphrases
- weak learners
- ensemble learning
- label ranking
- pairwise
- generalization error
- negative correlation learning
- semi supervised
- ensemble methods
- weak classifiers
- generalization ability
- learning algorithm
- multi label
- supervised learning
- unlabeled data
- feature selection
- random forest
- base classifiers
- multi class classification
- unsupervised learning
- machine learning
- semi supervised learning
- concept drift
- base learners
- cross validation
- benchmark datasets
- prediction accuracy
- reinforcement learning
- decision trees
- machine learning algorithms
- text categorization
- labeled data
- model selection
- graph cuts
- active learning
- data sets