Results 11 to 20 of about 110,431 (303)
Uncertainty Quantification For Learned ISTA
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023 to appear at the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023)
Frederik Hoppe +4 more
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The Gaussian Process Modeling Module in UQLab [PDF]
Journal of Soft Computing in Civil Engineering, 2018 We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a ...
Christos Lataniotis +2 more
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Geometry of martensite needles in shape memory alloys
Comptes Rendus. Mathématique, 2021 We study the geometry of needle-shaped domains in shape-memory alloys. Needle-shaped domains are ubiquitously found in martensites around macroscopic interfaces between regions which are laminated in different directions, or close to macroscopic ...
Conti, Sergio +4 more
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Quantum-Inspired Uncertainty Quantification
Frontiers in Computer Science, 2022 Reasonable quantification of uncertainty is a major issue of cognitive infocommunications, and logic is a backbone for successful communication. Here, an axiomatic approach to quantum logic, which highlights similarity to and differences to classical ...
Günther Wirsching
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Contaminant source localization via Bayesian global optimization [PDF]
Hydrology and Earth System Sciences, 2019 Contaminant source localization problems require efficient and robust methods that can account for geological heterogeneities and accommodate relatively small data sets of noisy observations.
G. Pirot +7 more
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Convex Optimal Uncertainty Quantification [PDF]
SIAM Journal on Optimization, 2015 Accepted for publication in SIAM Journal on ...
Shuo Han 0011 +4 more
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Uncertainty quantification and propagation with probability boxes
Nuclear Engineering and Technology, 2021 In the last decade, the best estimate plus uncertainty methodologies in nuclear technology and nuclear power plant design have become a trending topic in the nuclear field.
L. Duran-Vinuesa, D. Cuervo
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Uncertainty Quantification in Sunspot Counts [PDF]
The Astrophysical Journal, 2019 Abstract Observing and counting sunspots constitutes one of the longest-running scientific experiments, with first observations dating back to Galileo (around 1610). Today the sunspot number (SN) time series acts as a benchmark of solar activity in a large range of physical models. An appropriate statistical modeling, adapted to the time
Sophie Mathieu +4 more
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jrreimer/Uncertainty-quantification-for-ecological-models-with-random-parameters: v1.0.0
, 2022 Scripts and supporting files used in manuscript "Uncertainty quantification for ecological models with random parameters.
jrreimer
core +1 more source
TAMING UNCERTAINTY: THE LIMITS TO QUANTIFICATION [PDF]
ASTIN Bulletin, 2016 Taming the beast of uncertainty has been the grand project to which actuaries have dedicated much of their energy and skill over at least the last 50 years – roughly the time since, in Hans Bühlmann's (1989) famous term, “Actuaries of the Second Kind” emerged.
Tsanakas, A., Beck, M.B., Thompson, M.
openaire +5 more sources