Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification.
Yong FengJinglong ChenZhuozheng YangXiaogang SongYuanhong ChangShuilong HeEnyong XuZitong ZhouPublished in: Knowl. Based Syst. (2021)
Keyphrases
- cross domain
- domain adaptation
- meta learning
- learning tasks
- transfer learning
- target domain
- inductive learning
- sentiment classification
- knowledge transfer
- text categorization
- model selection
- machine learning algorithms
- source domain
- labeled data
- machine learning
- feature selection
- multiple sources
- data mining
- domain specific
- decision trees
- learning algorithm
- data sets
- unlabeled data
- semi supervised learning
- unsupervised learning
- semi supervised
- case study