Semi-supervised learning to improve generalizability of risk prediction models.
Shengqiang ChiXinhang LiYu TianJun LiXiang-Xing KongKe-Feng DingChunhua WengJing-Song LiPublished in: J. Biomed. Informatics (2019)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- learning models
- improve the classification accuracy
- supervised learning
- training data
- unsupervised learning
- semi supervised classification
- learning problems
- machine learning
- transfer learning
- regularization framework
- label propagation
- co training
- labeled examples
- machine learning algorithms
- manifold regularization
- graph based semi supervised learning
- probabilistic model
- supervised learning algorithms
- discriminative models
- active learning
- prior knowledge