Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data.
Jun-Feng YangNing ZhangYan-Lin HeQun-Xiong ZhuYuan XuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- domain adaptation
- fault diagnosis
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- neural network
- co training
- expert systems
- supervised learning
- transfer learning
- text classification
- cross domain
- active learning
- target domain
- fuzzy logic
- training data
- multiple sources
- prior knowledge
- labeled examples
- data points
- labeled and unlabeled data
- learning algorithm
- class distribution
- text categorization
- training set
- training examples
- sentiment classification
- data analysis
- reinforcement learning
- labeled training data
- test data
- single view
- information extraction
- e learning