On Aggregation in Ensembles of Multilabel Classifiers.
Vu-Linh NguyenEyke HüllermeierMichael RappEneldo Loza MencíaJohannes FürnkranzPublished in: CoRR (2020)
Keyphrases
- benchmark datasets
- multilabel classification
- ensemble methods
- ensemble learning
- multi label
- base classifiers
- base learners
- multi label classification
- instance based learning
- binary classification
- training set
- neural network
- classifier training
- training data
- decision trees
- computer vision
- data sets
- logistic regression
- class labels
- training examples
- naive bayes
- text categorization
- graph cuts
- image classification