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1
Uncertainty Quantification for Trusted Machine Learning in ..:
, In:
2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)
,
Woodward, Douglas
;
Hobbs, Madison
;
Gilbertson, James Andrew
. - p. 38-43 , 2021
Link:
https://doi.org/10.1109/SMC-IT51442.2021.00012
RT T1 <cTitle>2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)</cTitle>: T1 <Title>Uncertainty Quantification for Trusted Machine Learning in Space System Cyber Security</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9697520&Exemplar=1&LAN=DE A1 Woodward, Douglas A1 Hobbs, Madison A1 Gilbertson, James Andrew A1 Cohen, Nicholas YR 2021 K1 Deep learning K1 Temperature distribution K1 Uncertainty K1 Space missions K1 Predictive models K1 Data models K1 Calibration K1 trusted artificial intelligence K1 deep learning K1 machine learning K1 space K1 command K1 telemetry K1 uncertainty quantification K1 confidence calibration SP 38 OP 43 LK http://dx.doi.org/https://doi.org/10.1109/SMC-IT51442.2021.00012 DO https://doi.org/10.1109/SMC-IT51442.2021.00012 SF ELIB - SuUB Bremen
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