
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.
- Alaotsikko
- Recent Advances and Future Perspectives
- Kirjailija
- Jingjing Li, Lei Zhu, Zhekai Du
- ISBN
- 9789819710270
- Kieli
- englanti
- Paino
- 310 grammaa
- Julkaisupäivä
- 23.4.2025
- Kustantaja
- SPRINGER VERLAG, SINGAPORE
- Sivumäärä
- 223