Unsupervised Domain Adaptation: Recent Advances and Future Perspectives - Machine Learning: Foundations, Methodologies, and Applications - Jingjing Li - Books - Springer Verlag, Singapore - 9789819710270 - April 23, 2025
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Jingjing Li
Unsupervised Domain Adaptation: Recent Advances and Future Perspectives - Machine Learning: Foundations, Methodologies, and Applications

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 23, 2025
ISBN13 9789819710270
Publishers Springer Verlag, Singapore
Pages 223
Dimensions 150 × 220 × 10 mm   ·   371 g

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