Learning SVM with weighted maximum margin criterion for classification of imbalanced data.
Zhuangyuan ZhaoPing ZhongYaohong ZhaoPublished in: Math. Comput. Model. (2011)
Keyphrases
- imbalanced data
- support vector machine svm
- support vector
- multiple kernel
- support vector machine
- supervised learning
- learning algorithm
- classification accuracy
- classification algorithm
- feature vectors
- learning process
- feature selection
- generalization ability
- svm classifier
- active learning
- class imbalance
- text classification
- decision boundary
- learning models
- benchmark datasets
- decision trees
- training data
- image classification
- feature set
- machine learning
- small number
- training set
- training process
- least squares
- learning machines
- feature extraction