Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2210-5441
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Against Interpretability: a Critical Examination of the Interpretability Problem in Machine Learning ; day:13 ; month:8 ; year:2019 ; pages:1-16
Philosophy & technology ; (13.8.2019), 1-16
- Urheber
-
Krishnan, Maya
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13347-019-00372-9
- URN
-
urn:nbn:de:101:1-2019123107122317436164
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
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Beteiligte
- Krishnan, Maya
- SpringerLink (Online service)
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