نتایج جستجو برای: maximization of entropy
تعداد نتایج: 21174033 فیلتر نتایج به سال:
The principle of maximum entropy, along with empirical considerations, can provide consistent basis for constructing a consistent probability distribution model for highly varying geophysical processes. Here we examine the potential of using this principle with the Boltzmann-Gibbs-Shannon entropy definition in the probabilistic modelling of rainfall in different areas worldwide. We define and t...
In this paper, we focus on the combination of probabilistic logic programming with the principle of maximum entropy. We start by deening probabilistic queries to probabilistic logic programs and their answer substitutions under maximum entropy. We then present an ef-cient linear programming characterization for the problem of deciding whether a probabilistic logic program is satissable. Finally...
In the framework of a two-moment photo-hydrodynamic modelling of radiation transport, we introduce a concept for the determination of effective radiation transport coefficients based on the minimization of the local entropy production rate of radiation and matter. The method provides the nonequilibrium photon distribution from which the effective absorption coefficients and the variable Eddingt...
Entropy maximization subject to known expected values is extended to the case where the random variables involved may take on positive infinite values. As a result, an arbitrary probability distribution on a finite set may be realized as a canonical distribution. The Rényi entropy of the distribution arises as a natural by-product of this realization. Starting with the uniform distribution on a...
Abstract In this note by use of the idea emergence cosmic space suggested Padmanabhan (Emergence and expansion as due to quest for holographic equipartition; Res Astro Astrophys 12:891, 2012), we derive modified Friedmann equation a Friedmann-Robertson-Walker (FRW) Universe from Tsallis Cirto entropy in $$(n+1)$$ (</mm...
Shipley et al. (Reports, 3 November 2006, p. 812) predicted plant community composition and relative abundances with a high level of accuracy by maximizing Shannon’s index of information entropy (species diversity), subject to constraints on plant trait averages. We show that the entropy maximization assumption is relatively unimportant and that the high accuracy is due largely to a statistical...
We propose a framework for learning hiddenvariable models by optimizing entropies, in which entropy minimization, posterior maximization, and free energy minimization are all equivalent. Solutions for the maximum a posteriori (MAP) estimator yield powerful learning algorithms that combine all the charms of expectation-maximization and deterministic annealing. Contained as special cases are the ...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید