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3 produkter

1. 

   Unsupervised Domain Adaptation

   Recent Advances and Future Perspectives

   Av Jingjing Li, Lei Zhu m. fl.

   Inbunden, 2024

   1857 kr

   Lägg i varukorg

   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. In recent years, UDA has received significant attention from the research community due to its …

2. 

   Unsupervised Domain Adaptation

   Recent Advances and Future Perspectives

   Av Zhekai Du, Lei Zhu m. fl.

   E-bok, 2024

   2444 kr

   Lägg i varukorg

   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. In recent years, UDA has received significant attention from the research community due to its …

3. 

   Unsupervised Domain Adaptation

   Recent Advances and Future Perspectives

   Av Jingjing Li, Lei Zhu m. fl.

   Häftad, 2025

   1912 kr

   Lägg i varukorg

   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. In recent years, UDA has received significant attention from the research community due to its …