
Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.
- Undertittel
- Recent Advances and Future Perspectives
- Forfatter
- Jingjing Li, Lei Zhu, Zhekai Du
- ISBN
- 9789819710270
- Språk
- Engelsk
- Vekt
- 310 gram
- Utgivelsesdato
- 23.4.2025
- Antall sider
- 223
