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Titlebook: Maximum Entropy and Bayesian Methods; Cambridge, England, John Skilling,Sibusiso Sibisi Conference proceedings 1996 Kluwer Academic Publis

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Noise Analysis in Optical Fibre Sensing: A Study using the Maximum Entropy Methodthe lowest moments and that the higher moments are influenced by noise, we construct “clean” images that have the same lower moments as the original ones and maximum entropy. Prom a mathematical point of view, we study the moment problem with the maximum entropy method for the case of a discrete var
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Autoclass — A Bayesian Approach to ClassificationThe main difference between clustering and our approach is that we search for the “best” set of class descriptions rather than grouping the cases themselves. We describe our classes in terms of probability distribution or density functions, and the locally maximal posterior probability parameters. W
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Bayesian Inference for Basis Function Selection in Nonlinear System Identification using Genetic Alg, based on Bayesian model comparison is developed. The models consist of linear coefficients and nonlinear basis functions, which may themselves be parametrised, with different models constructed with different subsets of basis functions. By a suitable encoding, genetic algorithms are used to search
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The Hard Truthalidity of those models. The posterior quantifies the degree of certainty one has about those models. We propose a method to determine the uncertainty in a specific feature of a Bayesian solution. Our approach is based on an analogy between the negative logarithm of the posterior and a physical pote
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ch induce alterations in the cell genome such as chromosomal deletions, rearrangements, and mutations. In the complex multifactorial pathogenesis of cancer, viruses often participate as biologic cofactors that cooperate with chemical and physical agents in both the initiation and progression of tumo
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E. J. Fordham,D. Xing,J. A. Derbyshire,S. J. Gibbs,T. A. Carpenter,L. D. Hallgy in the 1930s and 1940s. Today, more than 50% of newly diagnosed cancer patients receive radiation therapy, typically as a part of curative combined modality treatment with surgery and/or chemotherapy. Additionally, a majority of patients who present with metastatic disease or who develop metastas
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