Chunk incremental learning for cost-sensitive hinge loss support vector machine.
Bin GuXin QuanYunhua GuVictor S. ShengGuansheng ZhengPublished in: Pattern Recognit. (2018)
Keyphrases
- incremental learning
- cost sensitive
- support vector machine
- soft margin
- boosting algorithms
- multi class
- binary classification
- decision boundary
- misclassification costs
- class distribution
- svm classifier
- support vector
- loss function
- support vector machine svm
- feature selection
- feature vectors
- class imbalance
- machine learning
- k nearest neighbor
- supervised learning
- training set
- kernel function
- probability estimates
- learning process
- hyperplane
- knn
- active learning
- kernel methods
- pairwise
- semi supervised
- training data
- naive bayes
- binary classifiers
- feature space
- data sets
- information extraction