Imbalanced classification using support vector machine ensemble.
Jiang TianHong GuWenqi LiuPublished in: Neural Comput. Appl. (2011)
Keyphrases
- support vector machine
- imbalanced data
- support vector machine svm
- svm classifier
- classification method
- support vector
- feature selection
- binary classification problems
- ensemble classifier
- training set
- training data
- pattern recognition
- feature vectors
- multi class
- svm classification
- generalization ability
- classification accuracy
- high classification accuracy
- final classification
- classification algorithm
- decision boundary
- ensemble learning
- decision trees
- random forest
- regression problems
- machine learning
- small sample
- majority voting
- feature space
- feature extraction
- data sets
- classifier ensemble
- decision forest
- imbalanced data sets
- class imbalance
- random forests
- hyperplane
- text classification
- learning algorithm
- binary classification
- semi supervised
- decision tree classifiers
- k nearest neighbor
- multiple classifiers
- training samples
- weak learners
- kernel function
- cross validation
- machine learning methods
- pattern classification
- feature ranking
- classification models