Boundary bagging to address training data issues in ensemble classification.
Samia BoukirWei FengPublished in: ICPR (2020)
Keyphrases
- ensemble classification
- training data
- ensemble methods
- ensemble classifier
- decision trees
- concept drift
- learning algorithm
- classification models
- supervised learning
- data sets
- classification accuracy
- training set
- multiple classifier systems
- test data
- support vector machine
- prediction accuracy
- benchmark datasets
- multiresolution
- base classifiers
- ensemble learning
- generalization error
- random forests
- pattern recognition