Laplacian twin parametric-margin support vector machine for semi-supervised classification.
Zhiji YangYitian XuPublished in: Neurocomputing (2016)
Keyphrases
- semi supervised classification
- support vector machine
- decision boundary
- soft margin
- support vector
- pairwise constraints
- semi supervised learning
- semi supervised
- unlabeled data
- support vector machine svm
- training set
- labeled data
- svm classifier
- manifold regularization
- multi class
- labeled and unlabeled data
- training data
- machine learning
- hyperplane
- kernel function
- supervised classification
- feature selection
- feature space
- unsupervised learning
- active learning
- pattern classification
- feature vectors
- text classification
- feature set
- kernel methods
- natural language processing
- generalization error
- co training
- supervised learning
- nearest neighbor
- information extraction
- data points