Results 71 to 80 of about 343,367 (193)
Properties of Entropy-Based Topological Measures of Fullerenes
Mathematics, 2020 A fullerene is a cubic three-connected graph whose faces are entirely composed of pentagons and hexagons. Entropy applied to graphs is one of the significant approaches to measuring the complexity of relational structures.
Modjtaba Ghorbani +2 more
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On directed information theory and Granger causality graphs
, 2010 Directed information theory deals with communication channels with feedback. When applied to networks, a natural extension based on causal conditioning is needed.
A Kaiser +44 more
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Is the Voronoi Entropy a True Entropy? Comments on “Entropy, Shannon’s Measure of Information and Boltzmann’s H-Theorem”, Entropy 2017, 19, 48 [PDF]
Entropy, 2019 The goal of this comment note is to express our considerations about the recent paper by A. Ben Naim (Entropy 2017, 19, 48). We strongly support the distinguishing between the Shannon measure of information and the thermodynamic entropy, suggested in the paper.
Edward Bormashenko +2 more
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Comparing Security Notions of Secret Sharing Schemes
Entropy, 2015 Different security notions of secret sharing schemes have been proposed by different information measures. Entropies, such as Shannon entropy and min entropy, are frequently used in the setting security notions for secret sharing schemes.
Songsong Dai, Donghui Guo
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Network information and connected correlations
, 2003 Entropy and information provide natural measures of correlation among elements in a network. We construct here the information theoretic analog of connected correlation functions: irreducible $N$--point correlation is measured by a decrease in entropy ...
A. Soofi +18 more
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On Relations Between the Relative entropy and $\chi^2$-Divergence, Generalizations and Applications
, 2020 The relative entropy and chi-squared divergence are fundamental divergence measures in information theory and statistics. This paper is focused on a study of integral relations between the two divergences, the implications of these relations, their ...
Nishiyama, Tomohiro, Sason, Igal
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, 2015 The mutual information between stimulus and spike-train response is commonly used to monitor neural coding efficiency, but neuronal computation broadly conceived requires more refined and targeted information measures of input-output joint processes.
Crutchfield, James P. +2 more
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First Principles Calculation of the Entropy of Liquid Aluminum
Entropy, 2019 The information required to specify a liquid structure equals, in suitable units, its thermodynamic entropy. Hence, an expansion of the entropy in terms of multi-particle correlation functions can be interpreted as a hierarchy of information measures ...
Michael Widom, Michael Gao
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Entropy, Shannon’s Measure of Information and Boltzmann’s H-Theorem [PDF]
Entropy, 2017 We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynamic Entropy. The first is defined on any probability distribution; and therefore it is a very general concept. On the other hand Entropy is defined on a very special set of distributions. Next we show that the Shannon Measure of Information (SMI) provides
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The distribution of information for sEMG signals in the rectal cancer treatment process
, 2018 The electrical activity of external anal sphincter can be registered with surface electromyography. This signals are known to be highly complex and nonlinear.
Machura, Lukasz +3 more
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