Results 31 to 40 of about 176,073,457 (290)
Information Entropy as a Reliable Measure of Nanoparticle Dispersity [PDF]
Chemistry of Materials, 2020 Nanoparticle size impacts properties vital to applications ranging from drug delivery to diagnostics and catalysis. As such, evaluating nanoparticle size dispersity is of fundamental importance. Conventional approaches, such as standard deviation, usually require the nanoparticle population to follow a known distribution and are illequipped to deal ...
Niamh Mac Fhionnlaoich, Stefan Guldin
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Tsallis Mutual Information for Document Classification
Entropy, 2011 Mutual information is one of the mostly used measures for evaluating image similarity. In this paper, we investigate the application of three different Tsallis-based generalizations of mutual information to analyze the similarity between scanned ...
Màrius Vila +3 more
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An entropy-based measure of founder informativeness
Genetical Research, 2005 Optimizing quantitative trait locus (QTL) mapping experiments requires a generalized measure of marker informativeness because variable information is obtained from different marker systems, marker distribution and pedigree types. Such a measure can be derived from the concept of Shannon entropy, a central concept in information theory.
M Humberto, Reyes-Valdés +1 more
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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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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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Permutation Complexity and Coupling Measures in Hidden Markov Models
Entropy, 2013 Recently, the duality between values (words) and orderings (permutations) has been proposed by the authors as a basis to discuss the relationship between information theoretic measures for finite-alphabet stationary stochastic processes and their ...
Taichi Haruna, Kohei Nakajima
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A Characterization of Entropy in Terms of Information Loss
Entropy, 2011 There are numerous characterizations of Shannon entropy and Tsallis entropy as measures of information obeying certain properties. Using work by Faddeev and Furuichi, we derive a very simple characterization.
Tom Leinster, John C. Baez, Tobias Fritz
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Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 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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Empirical Estimation of Information Measures: A Literature Guide
Entropy, 2019 We give a brief survey of the literature on the empirical estimation of entropy, differential entropy, relative entropy, mutual information and related information measures.
Sergio Verdú
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