A deep transfer learning network for structural condition identification with limited real-world training data.
Nengxin BaoTong ZhangRuizhi HuangSuryakanta BiswalJingyong SuYing WangPublished in: CoRR (2023)
Keyphrases
- transfer learning
- training data
- labeled data
- real world
- domain adaptation
- target domain
- learning algorithm
- learning tasks
- semi supervised learning
- knowledge transfer
- reinforcement learning
- data sets
- unlabeled data
- training and test data
- cross domain
- manifold alignment
- source domain
- data mining
- text categorization
- collaborative filtering
- semi supervised
- training set
- decision trees
- multi task
- test set
- structure learning
- machine learning algorithms
- multi task learning
- label information
- text classification
- transfer knowledge
- test data
- labeled training data
- active learning
- cross domain learning
- supervised learning
- transferring knowledge
- algorithmic information theory