A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting.
Dabin ZhangRuibin LinTingting WeiLiwen LingJunjie HuangPublished in: Neural Comput. Appl. (2023)
Keyphrases
- domain adaptation
- transfer learning
- cross domain
- target domain
- labeled data
- manifold alignment
- cross domain text classification
- learning tasks
- transfer knowledge
- knowledge transfer
- multi task
- source domain
- financial time series forecasting
- multiple sources
- active learning
- reinforcement learning
- semi supervised learning
- document classification
- machine learning algorithms
- unlabeled data
- semi supervised
- machine learning
- text categorization
- text classification
- learning algorithm
- test data
- data sets
- text mining
- collaborative filtering
- sentiment classification
- data sources
- high dimensional
- e learning