Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning.
Ganlong ZhaoGuanbin LiYipeng QinJinjin ZhangZhenhua ChaiXiaolin WeiLiang LinYizhou YuPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- semi supervised classification
- co training
- supervised learning
- active learning
- semi supervised learning methods
- machine learning
- labeled examples
- unsupervised learning
- number of labeled examples
- labeled and unlabeled data
- manifold regularization
- training data
- label propagation
- training examples
- labeled training data
- class labels
- unlabeled examples
- positive examples
- learning problems
- learning algorithm
- improve the classification accuracy
- supervised learning algorithms
- semi supervised learning setting
- learning models
- text classification
- label information
- regularization framework
- semi supervised learning algorithms
- prior knowledge
- decision trees
- domain adaptation
- multiple instance learning
- multi instance
- transfer learning
- principal component analysis
- multi view learning
- data points
- unlabeled training data
- information retrieval