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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.

Alaotsikko
Recent Advances and Future Perspectives
ISBN
9789819710270
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
23.4.2025
Sivumäärä
223