Results 1 to 10 of about 563,674 (272)
Information entropy of classical versus explosive percolation
, 2015 We study the Shannon entropy of the cluster size distribution in classical as well as explosive percolation, in order to estimate the uncertainty in the sizes of randomly chosen clusters. At the critical point the cluster size distribution is a power-law,
da Silva, L. R. +2 more
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Entropy, 2014 There are two entropy-based methods to deal with linear inverse problems, which we shall call the ordinary method of maximum entropy (OME) and the method of maximum entropy in the mean (MEM).
Henryk Gzyl, Enrique ter Horst
doaj +1 more source
Bounds on general entropy measures
, 2003 We show how to determine the maximum and minimum possible values of one measure of entropy for a given value of another measure of entropy. These maximum and minimum values are obtained for two standard forms of probability distribution (or quantum state)
?yczkowski K +8 more
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Maximum Entropy Principle in Image Restoration
Advances in Electrical and Computer Engineering, 2018 Many imaging systems are faced with the problem of estimating a true image from a degraded dataset. In such systems, the image degradation is translated into a convolution with a Point Spread Function (PSF) and addition of noise.
PETROVICI, M.-A., DAMIAN, C., COLTUC, D.
doaj +1 more source
Maximum entropy, fluctuations and priors
, 2000 The method of maximum entropy (ME) is extended to address the following problem: Once one accepts that the ME distribution is to be preferred over all others, the question is to what extent are distributions with lower entropy supposed to be ruled out ...
Caticha, Ariel
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Maximum Entropy Production vs. Kolmogorov-Sinai Entropy in a Constrained ASEP Model
Entropy, 2014 The asymmetric simple exclusion process (ASEP) has become a paradigmatic toy-model of a non-equilibrium system, and much effort has been made in the past decades to compute exactly its statistics for given dynamical rules.
Martin Mihelich +3 more
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Entropy Concentration and the Empirical Coding Game
, 2008 We give a characterization of Maximum Entropy/Minimum Relative Entropy inference by providing two `strong entropy concentration' theorems. These theorems unify and generalize Jaynes' `concentration phenomenon' and Van Campenhout and Cover's `conditional ...
Cover +15 more
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Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
Entropy, 2018 The spiking activity of neuronal networks follows laws that are not time-reversal symmetric; the notion of pre-synaptic and post-synaptic neurons, stimulus correlations and noise correlations have a clear time order.
Rodrigo Cofré, Cesar Maldonado
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Entropies for complex systems: generalized-generalized entropies
, 2007 Many complex systems are characterized by non-Boltzmann distribution functions of their statistical variables. If one wants to -- justified or not -- hold on to the maximum entropy principle for complex statistical systems (non-Boltzmann) we demonstrate ...
Andrea Rapisarda +6 more
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QCD Level Density from Maximum Entropy Method
, 2005 We propose a method to calculate the QCD level density directly from the thermodynamic quantities obtained by lattice QCD simulations with the use of the maximum entropy method (MEM).
Ejiri, Shinji, Hatsuda, Tetsuo
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