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A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows.
Line Pouchard
Kristofer G. Reyes
Francis J. Alexander
Byung-Jun Yoon
Published in:
CoRR (2023)
Keyphrases
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machine learning
artificial intelligence
computer vision
real time
main contribution
theoretical framework
inductive learning
conceptual framework
databases
learning algorithm
reinforcement learning
computational intelligence
knowledge acquisition
learning systems
decision making under uncertainty