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Unsupervised Domain Adaptation
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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.

Undertittel
Recent Advances and Future Perspectives
Opplag
2024 ed.
ISBN
9789819710249
Språk
Engelsk
Vekt
446 gram
Utgivelsesdato
23.4.2024
Antall sider
223