Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data.
Yuhao ChenXin TanBorui ZhaoZhaowei ChenRenjie SongJiajun LiangXuequan LuPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- unlabeled data
- semisupervised learning
- labeled data
- semi supervised
- co training
- machine learning
- semi supervised classification
- partially labeled data
- supervised learning
- text categorization
- labeled examples
- labeled and unlabeled data
- learning problems
- unsupervised learning
- active learning
- learning algorithm
- feature selection
- labeled training data
- manifold regularization
- class labels
- semi supervised learning methods
- domain adaptation
- label propagation
- number of labeled examples
- unlabeled examples
- semi supervised learning setting
- transfer learning
- training examples
- learning models
- training data
- text classification
- training set
- prior knowledge
- feature extraction
- label information
- unlabeled samples
- supervised learning algorithms
- regularization framework
- positive examples
- base classifiers
- data sets
- learning tasks
- probabilistic model