Possibilistic classification by support vector networks.
Pei-Yi HaoJung-Hsien ChiangYu-De ChenPublished in: Neural Networks (2022)
Keyphrases
- support vector
- classification accuracy
- support vector machine
- cross validation
- svm classifier
- generalization ability
- feature selection
- automatic classification
- feature space
- classification scheme
- feature extraction
- kernel methods
- classification method
- decision trees
- logistic regression
- classification process
- multi class classification
- loss function
- social networks
- kernel function
- preprocessing
- training set
- logic programming
- benchmark datasets
- margin maximization
- sequential minimal optimization
- soft margin
- possibility theory
- training data
- learning machines
- pattern recognition
- training dataset
- text classification
- active learning
- hyperplane
- semi supervised
- machine learning methods
- logic programs
- decision rules