The information-theoretic value of unlabeled data in semi-supervised learning.
Alexander GolovnevDávid PálBalázs SzörényiPublished in: CoRR (2019)
Keyphrases
- information theoretic
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- text categorization
- co training
- labeled examples
- semi supervised classification
- unsupervised learning
- labeled and unlabeled data
- machine learning
- labeled training data
- supervised learning
- class labels
- semi supervised learning algorithms
- improve the classification accuracy
- manifold regularization
- domain adaptation
- number of labeled examples
- label propagation
- training data
- learning problems
- transfer learning
- training examples
- pairwise constraints
- text classification
- active learning
- semi supervised learning methods
- unlabeled training data
- learning models
- pattern recognition
- transductive svm
- metric learning
- decision boundary
- multi class
- information extraction
- training set
- semi supervised learning setting