Multi-source Transfer Learning Based on the Power Set Framework
Abstract Transfer learning is a great technology that can leverage knowledge from label-rich domains to address problems in similar domains that lack labeled data. Most previous works focus on single-source transfer, assuming the source domain contains sufficient labeled data and is close to the tar...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2023-06-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44196-023-00281-y |