On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification.
Simon KlüttermannJérôme RutinowskiAnh NguyenBritta GrimmeMoritz RoidlEmmanuel MüllerPublished in: CoRR (2024)
Keyphrases
- ensemble methods
- machine learning methods
- prediction accuracy
- random forests
- decision trees
- random forest
- benchmark datasets
- drifting concepts
- majority voting
- base classifiers
- bootstrap sampling
- ensemble learning
- imbalanced data
- classifier ensemble
- learning tasks
- ensemble feature selection
- image processing
- neural network