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Maximum entropy

Venus atmosphere profile from a maximum entropy principle

Venus atmosphere profile from a maximum entropy principle

... Abstract. The variational method with constraints recently developed by Verkley and Gerkema to describe maximum- entropy atmospheric profiles is generalized to ideal gases but with temperature-dependent ...

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Case studies of the propagation characteristics of auroral TIDS with EISCAT CP2 data using maximum entropy cross-spectral analysis

Case studies of the propagation characteristics of auroral TIDS with EISCAT CP2 data using maximum entropy cross-spectral analysis

... 2.2 Maximum entropy cross-spectral analysis method By means of Fourier cross-spectral analysis the phase di€erence of a TID at di€erent heights can be ...complex maximum entropy spectral ...

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Maximum entropy reconstructions of dynamic signaling networks from quantitative proteomics data.

Maximum entropy reconstructions of dynamic signaling networks from quantitative proteomics data.

... of maximum entropy to infer a network of interacting phosphotyrosine sites from pairwise correlations in a mass spectrometry data set and derive a phosphorylation-dependent interaction network solely from ...

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Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models.

Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models.

... (information) entropy are linked: the more information is encoded in the system, the lower its entropy ...the entropy maximization principle, which selects for the probability distribution that is ...

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Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity.

Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity.

... on maximum entropy modeling in which a scoring function related to the binding affinity of antibodies against a specific antigen is inferred from a sam- ple of sequences of the immune repertoire of an ...

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Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.

Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy.

... One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in ...

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Predicting the current and future potential distributions of lymphatic filariasis in Africa using maximum entropy ecological niche modelling.

Predicting the current and future potential distributions of lymphatic filariasis in Africa using maximum entropy ecological niche modelling.

... of maximum entropy (that which is closest to uniform) subject to constraints imposed by the observed spatial distributions of the species and environmental ...the maximum entropy distribution ...

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Repositório Institucional UFC: Pairwise maximum-entropy model for reading fixation data

Repositório Institucional UFC: Pairwise maximum-entropy model for reading fixation data

... In this work we proposed the maximum-entropy probability model to study the relation between the fixation configurations of different people when reading different texts. More specifically, we were ...

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Parallelization of Maximum Entropy POS Tagging for Bahasa Indonesia with MapReduce

Parallelization of Maximum Entropy POS Tagging for Bahasa Indonesia with MapReduce

... In this paper, MapReduce programming model is used to parallelize training and tagging proceess in maximum entropy part of speech tagging for Bahasa Indonesia. In training process, MapReduce model is ...

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Stimulus-dependent maximum entropy models of neural population codes.

Stimulus-dependent maximum entropy models of neural population codes.

... in maximum entropy models much shorter, ...the maximum entropy framework, ...tractable maximum likelihood inference framework with regularization, whereas the SDME offers the tools and ...

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Differences and implications in biogeochemistry from maximizing entropy production locally versus globally

Differences and implications in biogeochemistry from maximizing entropy production locally versus globally

... The maximum entropy production principle (Paltridge, 1975; Dewar, 2003) proposes that nonequilibrium abiotic or biotic systems with many degrees of freedom will organize towards a state of maximum ...

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Implications of Climate Change for Bird Conservation in the Southwestern U.S. under Three Alternative Futures.

Implications of Climate Change for Bird Conservation in the Southwestern U.S. under Three Alternative Futures.

... Future expected changes in climate and human activity threaten many riparian habitats, particularly in the southwestern U.S. Using Maximum Entropy (MaxEnt3.3.3) modeling, we characterized habitat ...

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A mathematical review of the generalized entropies and their matrix trace inequalities

A mathematical review of the generalized entropies and their matrix trace inequalities

... (2)The maximum entropy principles in nonex- tensive statistical physics are revisited as an applica- tion of the Tsallis relative entropy defined for the non- negative matrices in the framework of ...

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Victor Emanuel Mello de Guimarães Diniz1 , Edevar Luvizotto Júnior1 , Podalyro Amaral de Souza2 and Pedro Alves Silva

Victor Emanuel Mello de Guimarães Diniz1 , Edevar Luvizotto Júnior1 , Podalyro Amaral de Souza2 and Pedro Alves Silva

... the maximum entropy model to calculate discharges in ...the entropy equation for pipe ...the maximum entropy model coupled to the genetic algorithm for two water mains are compared to ...

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Climate and pH predict the potential range of the invasive apple snail (Pomacea insularum) in the southeastern United States.

Climate and pH predict the potential range of the invasive apple snail (Pomacea insularum) in the southeastern United States.

... Our objectives were to build a predictive model of P. insularum distribution in the southeastern USA and identify which environ- mental variables best predict its distribution using Maximum Entropy modeling ...

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Monte Carlo Method for Physically-Based Drop Size Distribution Evolution

Monte Carlo Method for Physically-Based Drop Size Distribution Evolution

... Abstract—We report in this paper the evolution of a physically based drop size distribution coupling the Maximum Entropy Formalism and the Monte Carlo method to solve the coagulation equation. Using the ...

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DETERMINATION OF CIRCULATION AND SHORT PERIOD FLUCTUATION

DETERMINATION OF CIRCULATION AND SHORT PERIOD FLUCTUATION

... From the results obtained through visual inspection of the original data, pro- gressive vectorial diagrams, Fourier Analysis and Maximum Entropy Method, the following [r] ...

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Generate disaggregated soil allocation data using a Minimum Cross Entropy Model

Generate disaggregated soil allocation data using a Minimum Cross Entropy Model

... Generalized Maximum Entropy approach, which is developed in thee steps concerning the specification of a r order Markov process, the estimates of aggregate transition probabilities and the disaggregation ...

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Contribution to Incomplete and Noisy Information Problem Solving by Artificial Intelligence Principles Applying

Contribution to Incomplete and Noisy Information Problem Solving by Artificial Intelligence Principles Applying

... of maximum entropy inference goes as follows – when presented with information in the form of a set of probability constraints, we want to infer a probability distribution that satisfies those constraints ...

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A regularized GMRES method for inverse blackbody radiation problem

A regularized GMRES method for inverse blackbody radiation problem

... scholars' attention. The first formulation for this problem was proposed by Bojarski [2] in 1982. The Laplace transform together with an iterative process was presented. Chen and Li [3], Dai and Dai [4] proved the ...

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