Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods.
Jary PomponiSimone ScardapaneAurelio UnciniPublished in: CoRR (2021)
Keyphrases
- ensemble methods
- memory footprint
- prediction accuracy
- decision trees
- ensemble learning
- random forests
- benchmark datasets
- base classifiers
- machine learning methods
- random forest
- generalization ability
- majority voting
- drifting concepts
- memory usage
- ensemble members
- imbalanced data
- bootstrap sampling
- decision tree ensembles
- base learners
- classifier ensemble
- ensemble feature selection
- machine learning
- bias variance analysis
- feature subset
- neural network