Robust support vector machine for high-dimensional imbalanced data.
Yugo NakayamaPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- imbalanced data
- support vector machine
- high dimensional
- svm classifier
- feature space
- decision boundary
- low dimensional
- support vector
- feature selection
- similarity measure
- training data
- minority class
- nearest neighbor
- dimensionality reduction
- support vector machine svm
- class distribution
- random forest
- hyperplane
- linear regression
- ensemble methods
- high dimensionality
- classification algorithm
- non stationary
- feature vectors
- ensemble classifier
- training set
- decision trees