Semi-supervised learning in initially labeled non-stationary environments with gradual drift.
Karl B. DyerRobi PolikarPublished in: IJCNN (2012)
Keyphrases
- semi supervised learning
- labeled examples
- supervised learning
- unlabeled training data
- unlabeled data
- unlabeled documents
- labeled training data
- semi supervised
- training data
- labeled data
- unlabeled samples
- unlabeled examples
- co training
- partially labeled
- unlabeled instances
- semi supervised classification
- unsupervised learning
- text categorization
- active learning
- learning problems
- manifold regularization
- class imbalance
- semi supervised learning algorithms
- machine learning
- label propagation
- labeled instances
- concept drift
- graph based semi supervised learning
- training set
- transfer learning
- learning models
- learning algorithm
- semi supervised learning methods
- labeled and unlabeled data
- domain adaptation
- training examples
- multiple instance learning
- class distribution
- training samples
- multi view
- pairwise
- feature selection