Verfügbarkeit: Unsupervised Domain Adaptation | Technische Universität München

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives

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Bibliographische Detailangaben
Beteiligte Personen:	Li, Jingjing (VerfasserIn), Zhu, Lei (VerfasserIn), Du, Zhekai (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 2024 Singapore Springer
Ausgabe:	1st ed. 2024
Schriftenreihe:	Machine Learning: Foundations, Methodologies, and Applications
Schlagwörter:	Machine Learning Data Science Data Mining and Knowledge Discovery Distribution Theory Machine learning Artificial intelligence / Data processing Data mining Distribution (Probability theory)
Links:	https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6 https://doi.org/10.1007/978-981-97-1025-6
Umfang:	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

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Datensatz im Suchindex

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id	DE-604.BV049673910
illustrated	Not Illustrated
indexdate	2024-12-20T20:18:43Z
institution	BVB
isbn	9789819710256
issn	2730-9916
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-035016857
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

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