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1 Ergebnisse
1
Interpretability, Then What? Editing Machine Learning Model..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Zijie J.
;
Kale, Alex
;
Nori, Harsha
... - p. 4132-4142 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539074
RT T1
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
UL https://suche.suub.uni-bremen.de/peid=acm-3539074&Exemplar=1&LAN=DE A1 Wang, Zijie J. A1 Kale, Alex A1 Nori, Harsha A1 Stella, Peter A1 Nunnally, Mark E. A1 Chau, Duen Horng A1 Vorvoreanu, Mihaela A1 Wortman Vaughan, Jennifer A1 Caruana, Rich PB ACM YR 2022 K1 accountability K1 human agency K1 interpretability K1 model editing K1 Computing methodologies K1 Machine learning SP 4132 OP 4142 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539074 DO https://dl.acm.org/doi/10.1145/3534678.3539074 SF ELIB - SuUB Bremen
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