Results 31 to 40 of about 83,436 (308)
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
openaire +4 more sources
Measuring information-transfer delays [PDF]
, 2013 In complex networks such as gene networks, traffic systems or brain circuits it is important to understand how long it takes for the different parts of the network to effectively influence one another.
Viola Priesemann +23 more
core +1 more source
Relative entropy, Gaussian concentration and uniqueness of equilibrium states [PDF]
, 2022 International audienceFor a general class of lattice-spin systems, we prove that an abstract Gaussian concentration bound implies positivity of lower entropy density.
Jean-René Chazottes +6 more
core +1 more source
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
doaj +1 more source
Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]
, 2008 We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C. +4 more
core +1 more source
Bayesian bin distribution inference and mutual information [PDF]
, 2005 We present an exact Bayesian treatment of a simple, yet sufficiently general probability distribution model. We consider piecewise-constant distributions' P(X) with uniform (second-order) prior over location of discontinuity points and assigned chances ...
Foldiak, Peter, Endres, Dominik Maria
core +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
Time-shift multiscale entropy analysis of physiological signals [PDF]
, 2017 Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for ...
Tuan D. Pham, Pham, Tuan,, Pham, Tuan
core +1 more source