A novel semi-supervised support vector machine with asymmetric squared loss.
Huimin PeiQiang LinLiran YangPing ZhongPublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- semi supervised
- support vector machine
- squared loss
- svm classifier
- semi supervised learning
- semi supervised support vector machines
- labeled data
- pairwise
- semi supervised clustering
- multi class
- co training
- training data
- active learning
- supervised learning
- unlabeled data
- unsupervised learning
- support vector machine svm
- multi view
- k nearest neighbor
- label propagation
- support vector
- manifold learning
- feature vectors
- svm classification
- semi supervised classification
- pairwise constraints
- labeled examples
- decision boundary
- support vector regression
- knn
- soft margin
- high classification accuracy
- feature space
- multi class support vector machines
- small sample
- kernel methods
- labeled and unlabeled data
- generalization ability
- feature selection
- machine learning
- unsupervised clustering
- kernel machines
- hyperplane
- radial basis function
- neural network
- classification algorithm