Results 1 to 10 of about 439,127 (183)
Privacy-preserving data sharing via probabilistic modeling [PDF]
Patterns, 2021 Summary: Differential privacy allows quantifying privacy loss resulting from accession of sensitive personal data. Repeated accesses to underlying data incur increasing loss. Releasing data as privacy-preserving synthetic data would avoid this limitation
Joonas Jälkö +5 more
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Probabilistic Modeling of Chloride Penetration with Respect to Concrete Heterogeneity and Epoxy-Coating on the Reinforcement. [PDF]
Materials (Basel), 2019 The presented article demonstrates the probabilistic method based modeling of the 2D chloride ingress into reinforced concrete structures with respect to concrete heterogeneity and epoxy-coated steel reinforcement. Spatial change of concrete diffusion is
Le TD, Lehner P, Konečný P.
europepmc +3 more sources
A study of problems of the multilevel probabilistic modeling for hydraulic conditions in pipeline systems [PDF]
E3S Web of Conferences, 2023 The article is devoted to of the multilevel probabilistic modeling problem for hydraulic conditions of pipeline systems (PSL) having a hybrid topology. The essence of the multilevel approach is to decompose of the design topology into a multi-loop part ...
Vanteeva Olga
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Probabilistic Models with Deep Neural Networks
Entropy, 2021 Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is ...
Andrés R. Masegosa +4 more
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A toolbox to demystify probabilistic and statistical paradoxes
Frontiers in Education, 2023 There is a variety of empirical evidence that the coverage of paradoxes in mathematics education helps to support thorough understanding of probabilistic and statistical concepts.
Riko Kelter +2 more
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A workflow for automatic, high precision livestock diagnostic screening of locomotor kinematics
Frontiers in Veterinary Science, 2023 Locomotor kinematics have been challenging inputs for automated diagnostic screening of livestock. Locomotion is a highly variable behavior, and influenced by subject characteristics (e.g., body mass, size, age, disease).
Falk Mielke +3 more
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Probabilistic Index Models [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2012 SummaryWe present a semiparametric statistical model for the probabilistic index which can be defined as P(Y⩽Y*), where Y and Y* are independent random response variables associated with covariate patterns X and X* respectively. A link function defines the relationship between the probabilistic index and a linear predictor.
Thas, Olivier +3 more
openaire +4 more sources
Probabilistic Resistive Switching Device Modeling Based on Markov Jump Processes
IEEE Access, 2021 In this work, a versatile mathematical framework for multi-state probabilistic modeling of Resistive Switching (RS) devices is proposed for the first time. The mathematical formulation of memristor and Markov jump processes are combined and, by using the
Vasileios Ntinas +2 more
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Tecnura, 2021 Objective: In this paper, we review different approaches to how the penetration of electric vehicles (EV) can be modeled in power networks. We also evaluate and compare experimentally the performance of three probabilistic electric vehicle charging load ...
Carlos David Zuluaga Ríos +3 more
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Bayesian Pure-Tone Audiometry Through Active Learning Under Informed Priors
Frontiers in Digital Health, 2021 Pure-tone audiometry—the process of estimating a person's hearing threshold from “audible” and “inaudible” responses to tones of varying frequency and intensity—is the basis for diagnosing and quantifying hearing loss.
Marco Cox, Bert de Vries, Bert de Vries
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