A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data.
Hongwei GeKeyi SunLiang SunMingde ZhaoChunguo WuPublished in: BIBM (2018)
Keyphrases
- ensemble learning
- imbalanced data
- ensemble classifier
- ensemble methods
- generalization ability
- decision trees
- pattern recognition
- benchmark datasets
- classification accuracy
- feature space
- base classifiers
- feature selection
- concept drift
- random forest
- classification models
- machine learning
- active learning
- class labels
- model selection
- training set
- image classification
- supervised learning
- classification error
- fusion method
- face recognition
- base learners
- support vector machine