Results 31 to 40 of about 409,949 (290)
Stochastic Chaos and Markov Blankets
Entropy, 2021 In this treatment of random dynamical systems, we consider the existence—and identification—of conditional independencies at nonequilibrium steady-state.
Karl Friston +4 more
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Subband Information Geometry Detection Method Based on Orthogonal Projection for Weak Radar Targets
Leida xuebao, 2023 Herein, a novel and effective method for detecting radar targets with a low signal-to-clutter ratio is proposed based on the information geometry theory.
Zheng YANG +4 more
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Moufang patterns and geometry of information
Pure and Applied Mathematics Quarterly, 2023 amstex, 42 ...
Combe, Noémie +2 more
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Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing
Entropy, 2021 Active inference is a normative framework for explaining behaviour under the free energy principle—a theory of self-organisation originating in neuroscience.
Lancelot Da Costa +3 more
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Geometry of Information Integration [PDF]
, 2018 Information geometry is used to quantify the amount of information integration within multiple terminals of a causal dynamical system. Integrated information quantifies how much information is lost when a system is split into parts and information transmission between the parts is removed. Multiple measures have been proposed as a measure of integrated
Shun-ichi Amari +2 more
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Foliations-Webs-Hessian Geometry-Information Geometry-Entropy and Cohomology
Entropy, 2016 IN MEMORIAM OF ALEXANDER GROTHENDIECK. THE MAN.
Michel Nguiffo Boyom
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Pullback Bundles and the Geometry of Learning
Entropy, 2023 Explainable Artificial Intelligence (XAI) and acceptable artificial intelligence are active topics of research in machine learning. For critical applications, being able to prove or at least to ensure with a high probability the correctness of algorithms
Stéphane Puechmorel
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Geometry from information geometry [PDF]
AIP Conference Proceedings, 2016 We use the method of maximum entropy to model physical space as a curved statistical manifold. It is then natural to use information geometry to explain the geometry of space. We find that the resultant information metric does not describe the full geometry of space but only its conformal geometry -- the geometry up to local changes of scale ...
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Issues in the teaching and learning of geometry [PDF]
, 2002 This chapter analyses a range of key issues in the teaching and learning of geometry. These include the nature of geometry, why geometry is important in the curriculum at school level and beyond, what geometry can be included at the school level, the ...
Jones, Keith
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Statistical Analysis of Plasma Dynamics in Gyrokinetic Simulations of Stellarator Turbulence
Entropy, 2023 A geometrical method for assessing stochastic processes in plasma turbulence is investigated in this study. The thermodynamic length methodology allows using a Riemannian metric on the phase space; thus, distances between thermodynamic states can be ...
Aristeides D. Papadopoulos +4 more
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