Pruning the Unlabeled Data to Improve Semi-Supervised Learning.
Guy HacohenDaphna WeinshallPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- unlabeled training data
- improve the classification accuracy
- labeled examples
- supervised learning
- co training
- unsupervised learning
- training data
- semi supervised classification
- labeled and unlabeled data
- active learning
- semi supervised learning methods
- manifold regularization
- learning problems
- semi supervised learning algorithms
- machine learning
- number of labeled examples
- learning models
- training examples
- learning algorithm
- text classification
- transfer learning
- multiple instance learning
- domain adaptation
- semisupervised learning
- label propagation
- data points
- labeled training data
- unlabeled examples
- regularization framework
- supervised learning algorithms
- information retrieval
- multi view learning
- label information
- feature selection
- training set
- prior knowledge