Adaptive FH-SVM for Imbalanced Classification.
Qi WangYingjie TianDalian LiuPublished in: IEEE Access (2019)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification method
- classification algorithm
- svm classification
- svm classifier
- generalization ability
- feature vectors
- feature selection
- classification accuracy
- imbalanced data
- class imbalance
- pattern recognition
- improves the classification accuracy
- machine learning
- binary classification problems
- multi class classification
- imbalanced datasets
- support vector machine classifiers
- pattern classification
- feature extraction
- feature space
- multiclass support vector machines
- decision trees
- hyperplane
- imbalanced data sets
- fold cross validation
- text classification
- decision boundary
- multi class
- knn
- structured output
- single class
- training samples
- kernel function
- unbalanced data
- training set
- support vectors
- high classification accuracy
- training process
- multi class svm
- kernel methods