Results 31 to 40 of about 2,408,709 (295)
Maximum Entropy competes with Maximum Likelihood
CoRR, 2020 11 ...
Armen E. Allahverdyan, N. H. Martirosyan
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Learning with maximum-entropy distributions [PDF]
Proceedings of the tenth annual conference on Computational learning theory - COLT '97, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yishay Mansour, Mariano Schain
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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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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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Rearrangement algorithm and maximum entropy [PDF]
Annals of Operations Research, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carole Bernard +2 more
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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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Maximum entropy PDF projection: A review
, 2022 Art. 070001We review maximum entropy (MaxEnt) PDF projection, a method with wide potential applications in statistical inference. The method constructs a sampling distribution for a high-dimensional vector x based on knowing the sampling distribution p(z)
Baggenstoss, P.M.
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Quantum Probabilities and Maximum Entropy
Entropy, 2017 Probabilities in quantum physics can be shown to originate from a maximum entropy principle.
Andreas Schlatter
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Maximum entropy methods, covariance completion and applications [PDF]
, 2022 The aim of this thesis is to give an introduction to the maximum entropy methods in model fitting, focusing on the general framework proposed by Edwin T. Jaynes in 1957. Subsequently, Arthur P.
Barbiero, Luca
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