Minority SVM for linearly separable imbalanced datasets.
Nizar AjeebAmmar NayalMariette AwadPublished in: IJCNN (2013)
Keyphrases
- linearly separable
- imbalanced datasets
- decision boundary
- minority class
- class distribution
- hyperplane
- support vector machine
- imbalanced data
- linear classifiers
- training samples
- training set
- pattern classification
- support vectors
- cost sensitive learning
- class imbalance
- support vector
- input space
- nearest neighbor
- data points
- ensemble methods
- class labels
- kernel function
- data distribution
- cost sensitive
- support vector machine svm
- training dataset
- training data
- base classifiers
- svm classifier
- feature space
- decision trees
- convex hull
- test set
- misclassification costs
- sampling methods
- active learning
- training examples
- unlabeled data
- semi supervised learning
- multi class