On the adaptability of ensemble methods for distributed classification systems: A comparative analysis.
Monica VillaverdeDavid AledoDavid PerezFélix MorenoPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- classification systems
- ensemble methods
- prediction accuracy
- random forests
- benchmark datasets
- decision trees
- base classifiers
- ensemble learning
- machine learning methods
- random forest
- majority voting
- ensemble feature selection
- bootstrap sampling
- multiple classifier systems
- drifting concepts
- imbalanced data
- machine learning algorithms
- data sets
- ensemble classifier
- classifier ensemble
- bias variance analysis
- decision tree ensembles