Results 31 to 40 of about 345,393 (288)
On using Shannon entropy measure for formulating new weighted exponential distribution
Journal of Taibah University for Science, 2022 In this article, a new class of weighted exponential distribution called Entropy-Based Exponential weighted distribution (EBEWD) is proposed. The main idea of the new lifetime distribution is in using the Shannon entropy measure as a weighted function ...
Amjad D. Al-Nasser +2 more
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JIDT: An information-theoretic toolkit for studying the dynamics of complex systems [PDF]
, 2014 Complex systems are increasingly being viewed as distributed information processing systems, particularly in the domains of computational neuroscience, bioinformatics and Artificial Life. This trend has resulted in a strong uptake in the use of (Shannon)
Lizier, Joseph T.
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Information Distances versus Entropy Metric
Entropy, 2017 Information distance has become an important tool in a wide variety of applications. Various types of information distance have been made over the years.
Bo Hu, Lvqing Bi, Songsong Dai
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Information and Divergence Measures
Entropy, 2023 The present Special Issue of Entropy, entitled Information and Divergence Measures, covers various aspects and applications in the general area of Information and Divergence Measures [...]
Alex Karagrigoriou, Andreas Makrides
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Entropy, mutual information, and systematic measures of structured spiking neural networks [PDF]
Journal of Theoretical Biology, 2020 The aim of this paper is to investigate various information-theoretic measures, including entropy, mutual information, and some systematic measures that based on mutual information, for a class of structured spiking neuronal network. In order to analyze and compute these information-theoretic measures for large networks, we coarse-grained the data by ...
Wenjie Li, Yao Li
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On Variational Expressions for Quantum Relative Entropies [PDF]
, 2017 Distance measures between quantum states like the trace distance and the fidelity can naturally be defined by optimizing a classical distance measure over all measurement statistics that can be obtained from the respective quantum states.
Berta, Mario +2 more
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New Information Measures for the Generalized Normal Distribution
Information, 2010 We introduce a three-parameter generalized normal distribution, which belongs to the Kotz type distribution family, to study the generalized entropy type measures of information. For this generalized normal, the Kullback-Leibler information is evaluated,
Christos P. Kitsos, Thomas L. Toulias
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, 2017 The information shared among observables representing processes of interest is traditionally evaluated in terms of macroscale measures characterizing aggregate properties of the underlying processes and their interactions.
Perdigão, Rui A. P.
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A step beyond Tsallis and Renyi entropies [PDF]
, 2005 Tsallis and R\'{e}nyi entropy measures are two possible different generalizations of the Boltzmann-Gibbs entropy (or Shannon's information) but are not generalizations of each others.
Abe +15 more
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PLoS ONE, 2015 Shannon entropy H and related measures are increasingly used in molecular ecology and population genetics because (1) unlike measures based on heterozygosity or allele number, these measures weigh alleles in proportion to their population fraction, thus ...
Anne Chao +5 more
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