Instance categorization by support vector machines to adjust weights in AdaBoost for imbalanced data classification.
Wonji LeeChi-Hyuck JunJong-Seok LeePublished in: Inf. Sci. (2017)
Keyphrases
- support vector
- imbalanced data classification
- feature selection
- learning machines
- text categorization
- support vector machine
- classification accuracy
- multi class classification
- svm classifier
- kernel function
- decision stumps
- linear combination
- binary classification
- text classification
- multi class
- training examples
- decision trees
- ensemble learning
- cross validation
- loss function
- ensemble methods
- hyperplane
- feature selection algorithms
- feature space
- dimensionality reduction
- radial basis function
- support vectors
- active learning
- feature extraction