C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks.
Isidro Cortés-Ciriano
Andreas Bender
Published in:
J. Chem. Inf. Model. (2019)
Keyphrases
</>
computationally efficient
neural network
main contribution
framework enables
theoretical framework
information retrieval
genetic algorithm
data mining
machine learning
artificial intelligence
high quality
pattern recognition
sufficient conditions
neural network model
belief nets