Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification.
Bartosz KrawczykColin BellingerRoberto CorizzoNathalie JapkowiczPublished in: IJCNN (2021)
Keyphrases
- multi class
- support vectors
- support vector machine
- support vector
- svm classifier
- class imbalance
- kernel function
- cost sensitive
- decision boundary
- training data
- feature selection
- binary classification
- support vector machine svm
- multi class classification
- hyperplane
- training examples
- feature vectors
- input space
- machine learning
- training dataset
- training process
- ls svm
- k nearest neighbor
- knn
- generalization ability
- linear classifiers
- minority class
- training samples
- feature space
- active learning
- binary classifiers
- base classifiers
- class labels
- loss function
- labeled data
- classification accuracy
- data sets