Results 11 to 20 of about 33,963 (308)
Fidelity measure and conservation of information in general probabilistic theories [PDF]
We investigate the main features of a measure of fidelity between states in a general family of probabilistic theories admitting classical probability theory and standard quantum theory as particular instances. We apply the aforementioned measure to investigate information-theoretical features of these theories related to the conservation of ...
Zander, Claudia +1 more
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Evaluating the capabilities of a satellite communication system (SCS) is challenging due to its complexity and ambiguity. It is difficult to accurately analyze uncertain situations, making it difficult for experts to determine appropriate evaluation ...
Jiahuan Liu +3 more
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Formalization of Measure Theory and Lebesgue Integration for Probabilistic Analysis in HOL [PDF]
Dynamic systems that exhibit probabilistic behavior represent a large class of man-made systems such as communication networks, air traffic control, and other mission-critical systems. Evaluation of quantitative issues like performance and dependability of these systems is of paramount importance.
Tarek Mhamdi +2 more
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Information Security Risk Modeling: a Comparison of Probabilistic and Fuzzy Measure Approaches
The article presents two approaches to information security risk modeling. The traditional probabilistic method is compared with the one based on fuzzy measure theory, the differences are analyzed and explained.
M. V. Timonin, V. S. Lavrentyev
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In reliability-based multidisciplinary design optimization, both aleatory and epistemic uncertainties may exist in multidisciplinary systems simultaneously.
Chao Fu, Jihong Liu, Wenting Xu
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Optimal sequential decision making with probabilistic digital twins
In this study, we present a formal definition of the probabilistic digital twin (PDT). Digital twins are emerging in many industries, typically consisting of simulation models and data associated with a specific physical system.
Christian Agrell +2 more
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Many non-probabilistic approaches have been widely regarded as mathematical tools for the representation of epistemic uncertainties. However, their heavy computational burden and low computational efficiency hinder their applications in practical ...
Xiang Peng +5 more
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A structure theorem for generalized-noncontextual ontological models [PDF]
It is useful to have a criterion for when the predictions of an operational theory should be considered classically explainable. Here we take the criterion to be that the theory admits of a generalized-noncontextual ontological model.
David Schmid +3 more
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Why hydrological predictions should be evaluated using information theory [PDF]
Probabilistic predictions are becoming increasingly popular in hydrology. Equally important are methods to test such predictions, given the topical debate on uncertainty analysis in hydrology.
S. V. Weijs +2 more
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Representing Probability Measures using Probabilistic Processes [PDF]
In the Type-2 Theory of Effectivity, one considers representations of topological spaces in which infinite words are used as "names" for the elements they represent.
Schröder , Matthias +3 more
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