Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful.
Jingge ZhuPublished in: UAI (2020)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- supervised learning
- co training
- semi supervised classification
- labeled and unlabeled data
- machine learning
- training data
- labeled examples
- unsupervised learning
- domain adaptation
- learning problems
- labeled training data
- transfer learning
- improve the classification accuracy
- number of labeled examples
- manifold regularization
- regularization framework
- text classification
- active learning
- multiple instance learning
- training examples
- supervised learning algorithms
- semi supervised learning methods
- semi supervised learning algorithms
- label propagation
- unlabeled examples
- e learning
- instance selection
- training set
- positive examples
- metric learning
- learning models
- multi view
- prior knowledge
- pairwise
- feature space
- learning environment