Maximum Entropy Principle
A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
... Abstract: Despite their obvious differences, biological systems at different scales tend to exhibit common organizational patterns. Unfortunately, these commonalities are usually obscured by the parcelled terminology ...
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Development of Reliability Function in 2-Component Standby Redundant System with Priority Based on Maximum Entropy Principle
... the maximum entropy principle brings an elegant solution for deriving the probability density function under the constraints of the values of ...the maximum entropy principle to ...
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Predicting the Outcome of NBA Playoffs Based on Maximum Entropy Principle
... Maximum Entropy model is a good-performance adaptability and flexibility excellence statistical model, making probability estimates to the problem, which is suited to solve the problem of ...the ...
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Adaptive Language Modeling Using the Maximum Entropy Principle
... ADAPTIVE LANGUAGE MODELING USING THE MAXIMUM ENTROPY PRINCIPLE A D A P T I V E L A N G U A G E M O D E L I N G U S I N G T H E M A X I M U M E N T R O P Y P R I N C I P L E Raymond Lau, Ronald Rosenfe[.] ...
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The Burr XII Distribution Family and the Maximum Entropy Principle: Power Law Phenomena Are Not Necessarily “Nonextensive”
... In conclusion, we think that physicists have to learn a lot from the progress made the last decades by mathema- ticians and ex-physicists in the field of statistics in econometrics. We think that many phenomena ...
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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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The Flow Resistance Factor Treated by the Maximum Entropy Principle
... the entropy parameter, the adjustment was sought with the help of an EXCEL sheet among the “ ” values (column 2) and the “ R eT ” turbulent Reynolds values (column 3), that after several attempts showed ...
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Maximum Entropy, Parallel Computations and Lotteries
... We wish to determine the probability of each of the possible 13 983 816 tickets being bought, subject to the constraints that the probabilities are consistent with the numbers of winners observed in the draws so far. The ...
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Maximum Entropy Discrimination Markov Networks
... a maximum entropy principle that allows an elegant combination of the discriminative maximum margin learning with the generative Bayesian regularization and hierarchical modeling, and we ...
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Maximum Entropy Reconstruction for Gas Dynamics
... the Maximum Entropy closure to extend the simple Euler and Gaussian moment closures to higher orders encountered some difficulty with its ...the Maximum Entropy Principle ...the ...
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Generalized Maximum Entropy Estimation
... the maximum entropy subject to finite moment constraints can be approximated by using duality of convex ...the maximum entropy principle with generalized regularization measures, that ...
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Determination of Maximum Bayesian Entropy Probability Distribution
... of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are ...
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Maximum Entropy Models for FrameNet Classification
... The development of FrameNet, a large database of semantically annotated sen- tences, has primed research into statistical methods for semantic tagging. We ad- vance previous work by adopting a Maximum ...
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Feature Lattices for Maximum Entropy Modelling
... Feature Lattices for Maximum Entropy Modelling Feature Lattices for M a x i m u m E n t r o p y M o d e l l i n g A n d r e i M i k h e e v * HCRC, L a n g u a g e T e c h n o l o g y G r o u p , U n[.] ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... The maximum entropy distribution is uniquely defined by the chosen constraints, which normally contain information from observations or theoretical ...
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Feature Lattices for Maximum Entropy Modelling
... Our approach uses the feature collocation lattice and builds complex candidate features without resorting to iterative scaling.. Maximum entropy modelling has been recently introduced to[r] ...
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The positive maximum principle on Lie groups
... This is the peer reviewed version of the following article: Applebaum, D. and Le Ngan, T. (2019), The positive maximum principle on Lie groups. J. London Math. Soc., which has been published in final form ...
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Subjectivity in Application of the Principle of Maximum Entropy
... The principle of maximum entropy is often utilized in this context to fill in the missing pieces of available information and is normally claimed to be fair and ...of maximum entropy ...
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Maximum Entropy Modeling in Sparse Semantic Tagging
... Maximum Entropy (MaxEnt) principle has been success- fully applied in many classification and tagging tasks (Rat- naparkhi, 1996; K. Nigam and A.McCallum, 1999; A. Mc- Callum and Pereira, 2000). We ...
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Chinese Sentiment Analysis Using Maximum Entropy
... In our future work, we plan to future improve the feature selection techniques for constructing Maximum Entropy model, which is Word Sense Disambiguation. We believe that identify the actual meaning of the ...
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