Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers.
Diego Silveira Costa NascimentoDanilo R. C. BandeiraAnne M. P. CanutoDaniel AraújoPublished in: IJCNN (2018)
Keyphrases
- multi label
- multi label classification
- diversity measures
- classifier ensemble
- class labels
- text categorization
- graph cuts
- image classification
- image annotation
- multi label learning
- classifier training
- binary classification
- ensemble learning
- ensemble members
- learning tasks
- decision trees
- text classification
- binary classifiers
- classification algorithm
- base learners
- multi label image annotation
- ensemble methods
- base classifiers
- label assignment
- training data
- multiple labels
- supervised learning
- multi class
- hierarchical text categorization
- automatic text classification
- neural network
- higher order
- naive bayes
- random forests
- markov random field
- knn
- support vector
- feature selection
- machine learning algorithms