Domain similarity metrics for predicting transfer learning performance
The lack of training data is a common problem in machine learning. One solution to thisproblem is to use transfer learning to remove or reduce the requirement of training data.Selecting datasets for transfer learning can be difficult however. As a possible solution, thisstudy proposes the domain sim...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Interaktiva och kognitiva system
2019
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153747 |