Results 41 to 50 of about 2,530,894 (297)
Random worlds and maximum entropy [PDF]
[1992] Proceedings of the Seventh Annual IEEE Symposium on Logic in Computer Science, 1994 Given a knowledge base KB containing first-order and statistical facts, we consider a principled method, called the random-worlds method, for computing a degree of belief that some formula Phi holds given KB. If we are reasoning about a world or system consisting of N individuals, then we can consider all possible worlds, or first-order models ...
Adam J. Grove +2 more
openaire +4 more sources
The minimum local cross-entropy criterion for inferring risk-neutral price distributions from traded options prices [PDF]
, 2004 A quantity known as the Local Cross-Entropy (LCE) for a density is proposed, defined to be the local derivative of the Cross-Entropy between a density and a ’kernel-smoothed’ version of itself, with respect to bandwidth of the smoothing.
Edelman, David
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A Weighted Generalized Maximum Entropy Estimator with a Data-driven Weight
Entropy, 2009 The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an information-theoretic approach that is robust to multicolinearity problem.
Ximing Wu
doaj +1 more source
Maximum Geometric Quantum Entropy
EntropyAny given density matrix can be represented as an infinite number of ensembles of pure states. This leads to the natural question of how to uniquely select one out of the many, apparently equally-suitable, possibilities.
Fabio Anza, James P. Crutchfield
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ESTIMATING VOLUME DISTRIBUTIONS USING MAXIMUM ENTROPY
Image Analysis and Stereology, 2011 This paper describes a new method for estimating particle volume distributions using isotropic, uniform, random (IUR) sections. An attractive feature of the method is that it makes no assumptions about the shape of the particles.
Jonathan M Keith, Stephen L Gay
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Nested Maximum Entropy Designs for Computer Experiments
Mathematics, 2023 Presently, computer experiments with multiple levels of accuracy are widely applied in science and engineering. This paper introduces a class of nested maximum entropy designs for such computer experiments.
Weiyan Mu, Chengxin Liu, Shifeng Xiong
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Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Maximum entropy methods, covariance completion and applications [PDF]
, 2022 The aim of this thesis is to give an introduction to the maximum entropy methods in model fitting, focusing on the general framework proposed by Edwin T. Jaynes in 1957. Subsequently, Arthur P.
Barbiero, Luca
core
Estimation Bias in Maximum Entropy Models
Entropy, 2013 Maximum entropy models have become popular statistical models in neuroscience and other areas in biology and can be useful tools for obtaining estimates of mutual information in biological systems.
Jakob H. Macke +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source