Unsupervised Domain Adaptation: Recent Advances and Future Perspectives
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
Singapore Springer |
| Ausgabe: | 1st ed. 2024 |
| Schriftenreihe: | Machine Learning: Foundations, Methodologies, and Applications
|
| Schlagworte: | |
| Online-Zugang: | DE-522 DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XVI, 223 p. 78 illus., 44 illus. in color) |
| ISBN: | 9789819710256 |
| ISSN: | 2730-9916 |
| DOI: | 10.1007/978-981-97-1025-6 |
Internformat
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| oclc_num | 1437855870 |
| open_access_boolean | |
| owner | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (XVI, 223 p. 78 illus., 44 illus. in color) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| series2 | Machine Learning: Foundations, Methodologies, and Applications |
| spellingShingle | Li, Jingjing Zhu, Lei Du, Zhekai Unsupervised Domain Adaptation Recent Advances and Future Perspectives Machine Learning Data Science Data Mining and Knowledge Discovery Distribution Theory Machine learning Artificial intelligence / Data processing Data mining Distribution (Probability theory) |
| title | Unsupervised Domain Adaptation Recent Advances and Future Perspectives |
| title_auth | Unsupervised Domain Adaptation Recent Advances and Future Perspectives |
| title_exact_search | Unsupervised Domain Adaptation Recent Advances and Future Perspectives |
| title_full | Unsupervised Domain Adaptation Recent Advances and Future Perspectives by Jingjing Li, Lei Zhu, Zhekai Du |
| title_fullStr | Unsupervised Domain Adaptation Recent Advances and Future Perspectives by Jingjing Li, Lei Zhu, Zhekai Du |
| title_full_unstemmed | Unsupervised Domain Adaptation Recent Advances and Future Perspectives by Jingjing Li, Lei Zhu, Zhekai Du |
| title_short | Unsupervised Domain Adaptation |
| title_sort | unsupervised domain adaptation recent advances and future perspectives |
| title_sub | Recent Advances and Future Perspectives |
| topic | Machine Learning Data Science Data Mining and Knowledge Discovery Distribution Theory Machine learning Artificial intelligence / Data processing Data mining Distribution (Probability theory) |
| topic_facet | Machine Learning Data Science Data Mining and Knowledge Discovery Distribution Theory Machine learning Artificial intelligence / Data processing Data mining Distribution (Probability theory) |
| url | https://doi.org/10.1007/978-981-97-1025-6 |
| work_keys_str_mv | AT lijingjing unsuperviseddomainadaptationrecentadvancesandfutureperspectives AT zhulei unsuperviseddomainadaptationrecentadvancesandfutureperspectives AT duzhekai unsuperviseddomainadaptationrecentadvancesandfutureperspectives |