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Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference.
Navid Khoshavi
Saman Sargolzaei
Arman Roohi
Connor Broyles
Yu Bi
Published in:
CoRR (2020)
Keyphrases
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neural network
rbf network
dynamic bayesian networks
back propagation
probabilistic modeling
bayesian networks
radial basis function
probabilistic inference
rigid body
neural network model
bayesian inference
estimation process
reasoning under uncertainty