Results 261 to 270 of about 2,530,894 (297)

Common Sense and Maximum Entropy

Synthese, 1998
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Constrained Maximum-Entropy Sampling

Operations Research, 1998
A fundamental experimental design problem is to select a most informative subset, having prespecified size, from a set of correlated random variables. Instances of this problem arise in many applied domains such as meteorology, environmental statistics, and statistical geology.
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Entropy estimation using the principle of maximum entropy

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the estimator presented here is parametric. The proposed estimator uses the maximum entropy principle to offer anm-term approximation to the underlying distribution and does not ...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero III   +2 more
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Maximum entropy method for magnetoencephalography

IEEE Transactions on Biomedical Engineering, 1997
Simulations show that the maximum entropy method is a promising technique for image reconstruction in magnetoencephalography. An algorithm based on the work of Skilling and Bryan [1] and an appropriately modified expression for the "entropy" is shown to provide high-quality reconstructions of both isolated and dense distributions of neural current ...
M. Huang, R. Aaron, C. A. Shiffman
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Maximum Entropy and Reliability Distributions

IEEE Transactions on Reliability, 1986
An effort is made to show the relevance and usefulness of the principle of maximum entropy to reliability considerations. The constraints entering into the maximum entropy principle are identified as a class of sufficient statistics which determine the unknown parameters in the probability densities that occur in the most commonly used reliability ...
Teitler, S., Rajagopal, A. K., Ngai, K. L.   +2 more
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Maximum Entropy

2020
Abstract A major goal of ecology is to predict patterns and changes in the abundance, distribution, and energetics of individuals and species in ecosystems. The maximum entropy theory of ecology (METE) predicts the functional forms and parameter values describing the central metrics of macroecology, including the distribution of ...
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The entropy of the maximum entropy distribution

Economics Letters, 1980
Abstract The entropy of the univariate maximum entropy (ME) distribution is expressed in terms of order statistics. In the multivariate ME distribution, the expected mutual information equals a positive constant independent of the sample values, and the excess of the unconditional entropy of any variate over its average conditional entropy (given all
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Generalized Maximum Entropy. Comparison with Classical Maximum Entropy

1993
In this paper a generalized algorithm of maximum entropy method for reconstruction of functions of any type (not only real non-negative, but real functions with alternating signs and complex ones as well) proposed in (Bajkova, 1991, 1992), is considered.
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Maximum entropy and maximum likelihood in spectral estimation

IEEE Transactions on Information Theory, 1998
Summary: The power spectral measure, an informative feature of a stationary time-discrete stochastic process, describes the relative strength of uncorrelated frequency components that compose the process. In spectral estimation one wants to describe the spectral measures of processes having a prescribed initial block of autocorrelation coefficients. In
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Maximum a posteriori maximum entropy order determination

IEEE Transactions on Signal Processing, 1997
Summary: An instance crucial to most problems in signal processing is the selection of the order of a presupposed model. Examples are the determination of the putative number of signals present in white Gaussian noise or the number of noise-contaminated sources impinging on a passive sensor array.
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