Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction ; volume:14 ; number:1 ; day:13 ; month:7 ; year:2024 ; pages:1-13 ; date:12.2024
Scientific reports ; 14, Heft 1 (13.7.2024), 1-13, 12.2024
- Urheber
-
Singh, Geethen
Moncrieff, Glenn
Venter, Zander
Cawse-Nicholson, Kerry
Slingsby, Jasper
Robinson, Tamara B.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-65954-w
- URN
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urn:nbn:de:101:1-2410020916494.031170647494
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
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Beteiligte
- Singh, Geethen
- Moncrieff, Glenn
- Venter, Zander
- Cawse-Nicholson, Kerry
- Slingsby, Jasper
- Robinson, Tamara B.
- SpringerLink (Online service)
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