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The Principle of Uncertain Maximum Entropy
, 2023 The Principle of Maximum Entropy is a rigorous technique for estimating an unknown distribution given partial information while simultaneously minimizing bias. However, an important requirement for applying the principle is that the available information be provided error-free (Jaynes 1982).
Kenneth Bogert, Matthew Kothe
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Проблеми трибології, 2022 The article gives a thermodynamic substantiation of the direction of nonequilibrium processes in tribocouples of machine parts, in tribosystems, based on the principles of maximum and minimum entropy.
V.V. Aulin +3 more
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Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints
Entropy, 2018 The maximum entropy principle introduced by Jaynes proposes that a data distribution should maximize the entropy subject to constraints imposed by the available knowledge.
Paul M. Baggenstoss
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Some Notes on Maximum Entropy Utility
Entropy, 2019 The maximum entropy principle is effective in solving decision problems, especially when it is not possible to obtain sufficient information to induce a decision.
Eun Young Kim, Byeong Seok Ahn
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Relative entropy, Haar measures and relativistic canonical velocity distributions [PDF]
, 2007 The thermodynamic maximum principle for the Boltzmann-Gibbs-Shannon (BGS) entropy is reconsidered by combining elements from group and measure theory. Our analysis starts by noting that the BGS entropy is a special case of relative entropy.
Banavar J Maritan A +17 more
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Automatic Image Thresholding Based on Shannon Entropy Difference and Dynamic Synergic Entropy
IEEE Access, 2020 An automatic thresholding method based on Shannon entropy difference and dynamic synergic entropy is proposed to select a reasonable threshold from the gray level image with a unimodal, bimodal, multimodal, or peakless gray level histogram.
Yaobin Zou +4 more
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Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment
Entropy, 2021 Many regions around the globe are subjected to precipitation-data scarcity that often hinders the capacity of hydrological modeling. The entropy theory and the principle of maximum entropy can help hydrologists to extract useful information from the ...
Pedro Henrique Lima Alencar +2 more
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Atomic Structure Modeling of Multi-Principal-Element Alloys by the Principle of Maximum Entropy
Entropy, 2013 Atomic structure models of multi-principal-element alloys (or high-entropy alloys) composed of four to eight componential elements in both BCC and FCC lattice structures are built according to the principle of maximum entropy.
Shaoqing Wang
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Probabilistic Inference for Dynamical Systems
Entropy, 2018 A general framework for inference in dynamical systems is described, based on the language of Bayesian probability theory and making use of the maximum entropy principle.
Sergio Davis +2 more
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Generalized entropies and logarithms and their duality relations [PDF]
, 2012 For statistical systems that violate one of the four Shannon-Khinchin axioms, entropy takes a more general form than the Boltzmann-Gibbs entropy. The framework of superstatistics allows one to formulate a maximum entropy principle with these generalized ...
Gell-Mann, Murray +2 more
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