Structured Ensembles: An approach to reduce the memory footprint of ensemble methods.
Jary PomponiSimone ScardapaneAurelio UnciniPublished in: Neural Networks (2021)
Keyphrases
- ensemble methods
- memory footprint
- prediction accuracy
- ensemble learning
- benchmark datasets
- random forests
- decision trees
- machine learning methods
- base classifiers
- memory usage
- majority voting
- random forest
- base learners
- generalization ability
- ensemble members
- drifting concepts
- imbalanced data
- decision tree ensembles
- ensemble feature selection
- ensemble classifier
- genetic programming
- genetic algorithm
- bootstrap sampling
- machine learning algorithms
- data mining
- neural network