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Deep learning of causal structures in high dimensions under data limitations

; ; ;

In
Nature machine intelligence 5(11), Seiten/Artikel-Nr.:1306-1316

Impressum[London] : Springer Nature Publishing

ISSN2522-5839

Online
DOI: 10.1038/s42256-023-00744-z

DOI: 10.18154/RWTH-2023-11206
URL: https://publications.rwth-aachen.de/record/974083/files/974083.pdf

Einrichtungen

  1. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85174907451
WOS Core Collection: WOS:001091265700001

Interne Identnummern
RWTH-2023-11206
Datensatz-ID: 974083

Beteiligte Länder
Germany, UK

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Nature ; Essential Science Indicators ; IF >= 20 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mechanical Engineering (Fac.4)
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415110
 Record created 2023-12-01, last modified 2025-10-15
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