Kernel-based semi-supervised learning for novelty detection.
Van NguyenTrung LeThien PhamMi DinhThai Hoang LePublished in: IJCNN (2014)
Keyphrases
- novelty detection
- semi supervised learning
- multiple kernel learning
- semi supervised
- unlabeled data
- anomaly detection
- machine learning
- labeled data
- supervised learning
- kernel machines
- kernel methods
- semi supervised classification
- unsupervised learning
- support vector machine
- training data
- active learning
- text categorization
- semi supervised learning algorithms
- concept drift
- label propagation
- manifold regularization
- graph based semi supervised learning
- sentence level
- labeled and unlabeled data
- co training
- transfer learning
- support vector
- neural network
- text classification
- probabilistic model
- improve the classification accuracy
- data mining