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