Gå direkt till innehållet
Unsupervised Domain Adaptation
Spara

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
Upplaga
2024 ed.
ISBN
9789819710249
Språk
Engelska
Vikt
446 gram
Utgivningsdatum
23.4.2024
Sidor
223