Results 11 to 20 of about 128,370 (210)
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
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Agency Contracts under Maximum-Entropy
Entropy, 2021 This article proposes the application of the maximum-entropy principle (MEP) to agency contracting (where a principal hires an agent to make decisions on their behalf) in situations where the principal and agent only have partial knowledge on the ...
Oscar Gutiérrez, Vicente Salas-Fumás
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Maximum quantum entropy method [PDF]
Physical Review B, 2018 Maximum entropy method for analytic continuation is extended by introducing quantum relative entropy. This new method is formulated in terms of matrix-valued functions and therefore invariant under arbitrary unitary transformation of input matrix. As a result, the continuation of off-diagonal elements becomes straightforward.
Sim, Jae-Hoon, Han, Myung Joon
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From Maximum Entropy to Maximum Entropy Production: A New Approach
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
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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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Projective Power Entropy and Maximum Tsallis Entropy Distributions
Entropy, 2011 We discuss a one-parameter family of generalized cross entropy between two distributions with the power index, called the projective power entropy. The cross entropy is essentially reduced to the Tsallis entropy if two distributions are taken to be equal.
Shinto Eguchi, Shogo Kato, Osamu Komori
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Maximum Rényi Entropy Rate [PDF]
IEEE Transactions on Information Theory, 2016 Two maximization problems of R nyi entropy rate are investigated: the maximization over all stochastic processes whose marginals satisfy a linear constraint, and the Burg-like maximization over all stochastic processes whose autocovariance function begins with some given values.
Bunte, Christoph, Lapidoth, Amos
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Spatial data modelling and maximum entropy theory
Agricultural Economics (AGRICECON), 2005 Spatial data modelling and consequential error estimation of the distribution function are key points of spatial analysis. For many practical problems, it is impossible to hypothesize distribution function firstly and some distribution models, such as ...
D. Klimešová, E. Ocelíková
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Maximum Entropy: Clearing up Mysteries
Entropy, 2001 : There are several mystifications and a couple of mysteries pertinent to MaxEnt. The mystifications, pitfalls and traps are set up mainly by an unfortunate formulation of Jaynes' die problem, the cause célèbre of MaxEnt.
Marian Grendár +1 more
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Maximum Entropy in Drug Discovery
Entropy, 2014 Drug discovery applies multidisciplinary approaches either experimentally, computationally or both ways to identify lead compounds to treat various diseases. While conventional approaches have yielded many US Food and Drug Administration (FDA)-approved
Chih-Yuan Tseng, Jack Tuszynski
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