Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.
Cheng ChengBeitong ZhouGuijun MaDongrui WuYe YuanPublished in: Neurocomputing (2020)
Keyphrases
- labeled data
- fault diagnosis
- transfer learning
- unlabeled data
- semi supervised learning
- semi supervised
- active learning
- text classification
- learning tasks
- expert systems
- supervised learning
- neural network
- training data
- data points
- cross domain
- labeled examples
- knowledge transfer
- fuzzy logic
- domain adaptation
- labeled training data
- prior knowledge
- class labels
- learning algorithm
- training examples
- labeled and unlabeled data
- cross domain text classification
- target domain
- label information
- pairwise
- feature selection
- transferring knowledge
- co training
- text categorization
- multi class
- multitask learning
- training and test data
- labeling effort
- machine learning