Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow.
Adam SubelYifei GuanAshesh ChattopadhyayPedram HassanzadehPublished in: CoRR (2022)
Keyphrases
- transfer learning
- data driven
- learning tasks
- knowledge transfer
- fluid flow
- machine learning
- cross domain
- labeled data
- reinforcement learning
- collaborative filtering
- structure learning
- multi task learning
- multi task
- transfer knowledge
- domain adaptation
- manifold alignment
- machine learning algorithms
- semi supervised learning
- artificial intelligence
- text categorization
- transferring knowledge
- target domain
- text classification
- active learning
- learning algorithm
- databases
- unsupervised learning
- object recognition
- previously learned
- similarity measure
- cross domain learning