Titlebook: Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems; Proceedings of the T C. Ray Smith,Gary J. Erickson Conference proce

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A Method of Computing Maximum Entropy Probability Values for Expert Systems, case. The calculation is based on the principle of maximum entropy and yields the most unbiased probability estimate, given the available evidence. Previous methods for computing maximum entropy values are either very restrictive in the probabilistic information (constraints) they can use or are co

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Two Recent Applications of Maximum Entropy,ns, the quantum mechanical inverse scattering problem, was the subject of a Master’s thesis by John P. Halloran, who is now at the Lockheed California Company, in Burbank, California. Some of the results of that work were reported at the Third Rocky Mountain Southwest Theoretical Physics Conference

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Updating Inductive Inference,oss-entropy inference, which uses the prior-posterior formalism, can lead to inconsistencies and violations of the positive value of information principle. A more acceptable updating procedure is based on the notion of proper scoring rule as a figure of merit.

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upports a single instruction set and whose state transition matches those called for by the instruction..An important determinant in the architecture is the mechanism for naming and locating an object in the storage hierarchy. Three classes of issues are involved in name specification; the process n

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E. T. Jaynesupports a single instruction set and whose state transition matches those called for by the instruction..An important determinant in the architecture is the mechanism for naming and locating an object in the storage hierarchy. Three classes of issues are involved in name specification; the process n

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