Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful.
Jingge ZhuPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- co training
- semi supervised classification
- supervised learning
- active learning
- labeled and unlabeled data
- labeled training data
- unsupervised learning
- manifold regularization
- learning problems
- labeled examples
- training data
- semi supervised learning methods
- machine learning
- transfer learning
- improve the classification accuracy
- class labels
- unlabeled examples
- domain adaptation
- number of labeled examples
- text classification
- label propagation
- semi supervised learning algorithms
- pairwise constraints
- abundant unlabeled data
- training examples
- pairwise
- training set
- learning models
- supervised learning algorithms
- multi instance learning
- maximum likelihood
- information extraction
- unlabeled instances
- data points
- unlabeled training data
- data mining