Results 11 to 20 of about 13,686,872 (271)
A novel diffuse liver nodule detector via integrating semantic edge features and probabilistic uncertainty modeling [PDF]
Frontiers in Artificial IntelligenceIntroductionUltrasound image segmentation of diffuse liver fibrosis nodules confronts three critical challenges: boundary ambiguity caused by gradual tissue transitions, texture heterogeneity arising from fibrotic variations, and inadequate uncertainty ...
Lei Tian +4 more
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A feasible probability and graph model for memory engrams [PDF]
Frontiers in Computational NeuroscienceThe capacity of long-term memory seems to be extremely large, capable of storing information spanning almost a lifetime. Why does it have such a vast capacity? Why are some memories so enduring? What is the actual physical form of long-term memory?
Hui Wei, Surun Yang, Yangwang Li
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J. L. Doob: Foundations of stochastic processes and probabilistic potential theory
Annals of Probability, 2009 Published in at http://dx.doi.org/10.1214/09-AOP465 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
exaly +4 more sources
Le Matematiche, 1992 In this paper we deal with a uniformly elliptic operator of the kind: Lu Au + Vu, where the principal part A is in divergence form, and V is a function assumed in a “Kato class”.
Marco Bramanti
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Probabilistic potential theory and induction of dynamical systems [PDF]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2021 In this article, we outline a version of a balayage formula in probabilistic potential theory adapted to measure-preserving dynamical systems. This balayage identity generalizes the property that induced maps preserve the restriction of the original invariant measure. As an application, we prove in some cases the invariance under induction of the Green-
Pène, Françoise, Thomine, Damien
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Foliations: A probabilistic, potential theory approach.
, 2003 Foliations: A probabilistic, potential theory ...
Wojciech V. Florek (7969937)
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Integrated world modeling theory expanded: Implications for the future of consciousness
Frontiers in Computational Neuroscience, 2022 Integrated world modeling theory (IWMT) is a synthetic theory of consciousness that uses the free energy principle and active inference (FEP-AI) framework to combine insights from integrated information theory (IIT) and global neuronal workspace theory ...
Adam Safron, Adam Safron, Adam Safron
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Reasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling. [PDF]
PLoS ONE, 2016 Recent advances in probabilistic pragmatics have achieved considerable success in modeling speakers' and listeners' pragmatic reasoning as probabilistic inference.
Michael Franke, Judith Degen
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Probabilistic thinking in prospective teachers from the use of TinkerPlots for simulation: Hat problem [PDF]
Journal of Pedagogical Research, 2022 Solving real-life problems through mathematical modeling is one of the aims of modern mathematics curricula. For this reason, prospective mathematics teachers need to acquire modeling skills and use these skills in learning environments in terms of ...
Timur Koparan +1 more
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Analysis of probabilistic contract signing [PDF]
, 2006 <p>We present three case studies, investigating the use of probabilistic model checking to automatically analyse properties of probabilistic contract signing protocols.
Shmatikov, V., Norman, G.
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