Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks-Reference-Cited by-同舟云学术

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Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks

Published:2021-03 Issue:3 Volume:32 Page:1037-1051
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Posch Konstantin^ORCID,Pilz Juergen^ORCID

Funder

ECSEL Joint Undertaking

European Union’s Horizon 2020 Research Innovation Program

consortium members and grants from Austria, Germany, Belgium, Italy, Spain, and Romania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/9365681/09070148.pdf?arnumber=9070148

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