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portada Unsupervised Domain Adaptation. Recent Advances and Future Perspectives
Type
Physical Book
Collection
Machine Learning: Foundations, Methodologies, and Applications
Year
2025
Pages
223
Format
Paperback
Dimensions
23.50 x 15.50 cm
ISBN13
9789819710270

Unsupervised Domain Adaptation. Recent Advances and Future Perspectives

Jingjing Li;Zhekai Du;Lei Zhu (Author) · Springer Nature · Paperback

Unsupervised Domain Adaptation. Recent Advances and Future Perspectives - Jingjing Li;Zhekai Du;Lei Zhu

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Synopsis "Unsupervised Domain Adaptation. Recent Advances and Future Perspectives"

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.

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