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Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions.
Zach Eaton-Rosen
Felix J. S. Bragman
Sotirios Bisdas
Sébastien Ourselin
M. Jorge Cardoso
Published in:
CoRR (2018)
Keyphrases
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deep learning
neural network
unsupervised learning
machine learning
unsupervised feature learning
restricted boltzmann machine
deep architectures
weakly supervised
feature selection
pattern recognition
back propagation
mental models
information retrieval
pairwise
model selection
data sets
neural nets