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Measures and Metrics of ML Data and Models to Assure Reliab..:
, In:
2024 Annual Reliability and Maintainability Symposium (RAMS)
,
Werner, Benjamin D.
;
Schumeg, Benjamin J.
;
Vigil, Jon
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/RAMS51492.2024.10457615
RT T1
2024 Annual Reliability and Maintainability Symposium (RAMS)
: T1
Measures and Metrics of ML Data and Models to Assure Reliable and Safe Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-10457615&Exemplar=1&LAN=DE A1 Werner, Benjamin D. A1 Schumeg, Benjamin J. A1 Vigil, Jon A1 Hall, Shane N. A1 Thengvall, Benjamin G. A1 Petty, Mikel D. YR 2024 SN 2577-0993 K1 Phase measurement K1 Reviews K1 Training data K1 Small business technology transfer K1 Data models K1 Safety K1 US Department of Defense K1 artificial intelligence K1 machine learning K1 reliability K1 safety K1 data K1 models K1 assurance SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/RAMS51492.2024.10457615 DO https://doi.org/10.1109/RAMS51492.2024.10457615 SF ELIB - SuUB Bremen
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