
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.
- Undertitel
- Recent Advances and Future Perspectives
- Författare
- Jingjing Li, Lei Zhu, Zhekai Du
- Upplaga
- 2024 ed.
- ISBN
- 9789819710249
- Språk
- Engelska
- Vikt
- 446 gram
- Utgivningsdatum
- 2024-04-23
- Sidor
- 223
