Maximum Entropy (GME)
Economic-environmental efficiency of European agriculture – a generalized maximum entropy approach
... Abstract: The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier ...
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Maximum Entropy Model Learning of the Translation Rules
... We have described an approach to learn the translation rules from parallel corpora based on the maximum entropy method.. As feature functions, we have defined two models, one with co-occ[r] ...
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On the complexity of computing maximum entropy for Markovian Models
... of entropy rate, it is actually a classical topic for MCs and ...the maximum entropy ...the maximum entropy rate when its stationary distribution is constrained in certain ways, see, ...
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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 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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Exponential Priors for Maximum Entropy Models
... Chen and Goodman (1999) performed an extensive comparison of different smoothing (regularization) tech- niques for language modeling. They found that a ver- sion of Kneser-Ney smoothing (Kneser and Ney, 1995) ...
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Maximum Entropy Discrimination Markov Networks
... standard maximum margin approach for structured prediction lacks a straightforward proba- bilistic interpretation of the learning scheme and the prediction ...called maximum entropy discrimina- tion ...
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Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
... Consider a finite and fix number of neurons N and a potential of range 1. This case includes the Ising model [5], Triplets [9], K-pairwise [7] and all other memoryless potentials that has been used in the context of ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... Statistical entropy deals with a measure of uncertainty or disorder associated with a probability ...of maximum entropy (ME) is a tool for infer- ence under uncertainty ...information entropy ...
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Maximum entropy model for business cycle synchronization
... The global economy is a complex dynamical system, whose cyclical fluctua- tions can mainly be characterized by simultaneous recessions or expansions of major economies. Thus, the researches on the synchronization ...
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Subjectivity in Application of the Principle of Maximum Entropy
... The character of maximum entropy (PME) distribution functions has been discussed. There are two principal innovations of our study. The PME solutions can to some extent be controlled by how primary data is ...
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Toward Tweets Normalization Using Maximum Entropy
... the maximum entropy model for normalizing ...the maximum entropy needs a training dataset to adjust its parameters, the pro- posed approach can normalize unseen da- ta in the training ...of ...
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A Maximum Entropy Approach to Chinese Spelling Check
... Spelling check identifies incorrect writ- ing words in documents. For the reason of input methods, Chinese spelling check is much different from English and it is still a challenging work. For the past dec- ade years, ...
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Chinese Sentiment Analysis Using Maximum Entropy
... of Maximum Entropy technique for Chinese sentiment ...that Maximum Entropy is a technique that is effective in a number of natural language processing ...paper, Maximum Entropy ...
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Maximum Entropy Based Restoration of Arabic Diacritics
... of characters our goal is to assign diacritics to each character. Our appoach is based on Maximum Entropy (MaxEnt henceforth) technique (Berger et al., 1996). MaxEnt can be used for sequence classification, ...
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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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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 as a ...
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Statistical optimization for passive scalar transport: maximum entropy production versus maximum Kolmogorov–Sinai entropy
... of maximum entropy production and the princi- ple of maximum Kolmogorov–Sinai entropy using a Markov model of the passive scalar diffusion called the Zero Range ...Kolmogorov–Sinai ...
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Maximum Entropy Reconstruction for Gas Dynamics
... of Maximum Entropy [24], ...the Maximum Entropy closure which were functional, but these schemes have been either impractical or intentionally more approximate than would seem ...
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Maximum Entropy, Parallel Computations and Lotteries
... the Maximum Entropy method to estimate the probability of each ticket being bought in the UK National Lottery using the fraction of winners in the 3, 4, and 5 match ...
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