A cost-sensitive semi-supervised learning model based on uncertainty.
Hongyu ZhuXizhao WangPublished in: Neurocomputing (2017)
Keyphrases
- semi supervised learning
- cost sensitive
- active learning
- semi supervised
- unlabeled data
- labeled data
- misclassification costs
- binary classification
- supervised learning
- cost sensitive learning
- multi class
- semisupervised learning
- class distribution
- machine learning
- naive bayes
- text categorization
- unsupervised learning
- co training
- training data
- transfer learning
- learning models
- class imbalance
- label propagation
- learning problems
- boosting algorithms
- multi instance
- data mining
- multi label
- small number
- bayesian networks