
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
- ISBN
- 9789819710270
- Språk
- Engelska
- Vikt
- 310 gram
- Utgivningsdatum
- 2025-04-23
- Sidor
- 223