A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning.
Rashida HasanChee-Hung Henry ChuPublished in: SAC (2024)
Keyphrases
- supervised machine learning
- ensemble methods
- class noise
- imbalanced data
- prediction accuracy
- benchmark datasets
- ensemble learning
- noise model
- decision trees
- random forest
- base classifiers
- machine learning methods
- data quality
- manually annotated
- active learning
- noisy data
- generalization ability
- class imbalance
- supervised learning
- machine learning
- ensemble classifier
- data sets
- base learners
- semi supervised learning
- semi supervised