Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method.
Jiaming HongChen QinYun HuangYin ZhouPublished in: DMBD (1) (2021)
Keyphrases
- unlabeled data
- semi supervised
- labeled data
- expert knowledge
- semi supervised learning
- training data
- data points
- co training
- active learning
- expert systems
- prior knowledge
- labeled and unlabeled data
- labeled training data
- data sets
- labeled examples
- supervised learning
- data analysis
- data distribution
- text classification
- label information
- learning algorithm
- number of labeled examples
- training examples
- domain experts
- abundant unlabeled data
- domain adaptation
- unsupervised learning
- domain knowledge
- neural network
- positive examples
- pairwise
- natural language
- genetic algorithm
- unlabeled samples
- multi view learning
- data mining