A methodology decomposes total uncertainty in regional risk assessment into contributions from probabilistic exposure characterization and other sources using analytical and simulation approaches.
Hyperparameter optimization for machine learning models based on bayesian optimization.Journal of Electronic Science and Technology, 17(1):26–40
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NUBO is a transparent, modular Python package implementing established Bayesian optimization techniques for bounded, constrained, and mixed input spaces.
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Quantifying Exposure Information Uncertainty in Regional Risk Assessment
A methodology decomposes total uncertainty in regional risk assessment into contributions from probabilistic exposure characterization and other sources using analytical and simulation approaches.
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NUBO: A Transparent Python Package for Bayesian Optimization
NUBO is a transparent, modular Python package implementing established Bayesian optimization techniques for bounded, constrained, and mixed input spaces.