A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification.
Qi KangLei ShiMengChu ZhouXueSong WangQidi WuZhi WeiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- support vector
- class imbalance
- classification accuracy
- classification scheme
- support vector machine
- learning machines
- generalization ability
- cross validation
- large margin classifiers
- pattern recognition
- feature selection
- binary classification
- svm classifier
- support vector machine svm
- imbalanced data sets
- class distribution
- kernel methods
- decision trees
- feature vectors
- image classification
- classification method
- feature space
- svm classification
- class labels
- high dimensionality
- logistic regression
- classification algorithm
- classification models
- cost sensitive
- model selection
- pattern classification
- dimensionality reduction
- high dimensional
- multi class classification
- maximum margin
- binary classification problems
- imbalanced datasets
- majority class
- data streams
- sequential minimal optimization