Results 11 to 20 of about 563,674 (272)
The Maximum Deng Entropy [PDF]
IEEE Access, 2019 Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed.
Bingyi Kang, Yong Deng
exaly +4 more sources
From Maximum Entropy to Maximum Entropy Production: A New Approach [PDF]
Entropy, 2010 Evidence from climate science suggests that a principle of maximum thermodynamic entropy production can be used to make predictions about some physical systems.
Nathaniel Virgo
exaly +4 more sources
On the Entropy and the Maximum Entropy Principle of Uncertain Variables [PDF]
Entropy, 2023 A new variance formula is developed using the generalized inverse of an increasing function. Based on the variance formula, a new entropy formula for any uncertain variable is provided.
Yujun Liu, Guanzhong Ma
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Maximum Entropy Fundamentals [PDF]
Entropy, 2001 : In its modern formulation, the Maximum Entropy Principle was promoted by E.T. Jaynes, starting in the mid-fifties. The principle dictates that one should look for a distribution, consistent with available information, which maximizes the entropy ...
F. Topsøe, P. Harremoeës
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Maximum Entropy and Sufficiency [PDF]
AIP Conference Proceedings, 2016 The notion of Bregman divergence and sufficiency will be defined on general convex state spaces. It is demonstrated that only spectral sets can have a Bregman divergence that satisfies a sufficiency condition.
Harremoës, Peter
core +4 more sources
On Maximum Entropy and Inference [PDF]
Entropy, 2017 Maximum entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data ...
Luigi Gresele, Matteo Marsili
doaj +5 more sources
Decoding ‘Maximum Entropy’ Deconvolution [PDF]
Entropy, 2022 For over five decades, the mathematical procedure termed “maximum entropy” (M-E) has been used to deconvolve structure in spectra, optical and otherwise, although quantitative measures of performance remain unknown.
Long V. Le +3 more
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Dynamic Maximum Entropy Reduction [PDF]
Entropy, 2019 Any physical system can be regarded on different levels of description varying by how detailed the description is. We propose a method called Dynamic MaxEnt (DynMaxEnt) that provides a passage from the more detailed evolution equations to equations for ...
Václav Klika +3 more
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CAAI Transactions on Intelligence Technology, 2018 This study presents a new perspective for autonomous mobile robots path searching by proposing a biasing direction towards causal entropy maximisation during random tree generation.
Rui Jiang +4 more
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Maximum Entropy on Compact Groups [PDF]
Entropy, 2009 In a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied.
Peter Harremoës
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