A Semi-Supervised Federated Learning Fault Diagnosis Method Based on Adaptive Class Prototype Points for Data Suffered by High Missing Rate.
Funa ZhouWei XuChaoge WangXiong HuTianzhen WangPublished in: J. Intell. Robotic Syst. (2023)
Keyphrases
- semi supervised
- database
- data sources
- data collection
- data sets
- data analysis
- prior knowledge
- data points
- training data
- data structure
- learning systems
- spatial data
- human experts
- supervised learning
- raw data
- learning models
- learning problems
- incomplete data
- background knowledge
- labeled and unlabeled data
- data processing
- image data
- learning algorithm
- training examples
- semi supervised learning
- labeled data
- multi view
- xml documents
- distributed data