Under-bagging Nearest Neighbors for Imbalanced Classification.
Hanyuan HangYuchao CaiHanfang YangZhouchen LinPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- nearest neighbor
- decision trees
- imbalanced data
- machine learning
- training set
- pattern classification
- decision boundary
- classification accuracy
- pattern recognition
- feature vectors
- k nearest neighbor
- tree ensembles
- class imbalance
- ensemble methods
- cost sensitive
- nearest neighbor rule
- support vector machine
- classifier ensemble
- majority voting
- random forests
- randomized trees
- feature selection
- classification algorithm
- support vector machine svm
- image classification
- feature extraction
- generalization ability
- concept drift
- benchmark datasets
- ensemble classifier
- training samples
- model selection
- supervised learning
- imbalanced data sets
- feature space