نتایج جستجو برای: maximum entropy principle

تعداد نتایج: 490826  

2002
Bernd Kawohl Guido Sweers

with μ = b, one notices that the coupling for μ > 0 is noncooperative such that indeed, see [14], the standard maximum principle cannot be used. Nevertheless, by the results in [14] one is able to estimate the value bc(Ω) from below by using the so called 3G-Theorem from [3] which can be rephrased as a positivity preserving property for the auxiliary system:    −∆u = f − λ v in Ω, −∆v = f in...

Journal: :CoRR 2009
Tom Leinster

This is a preliminary article stating and proving a new maximum entropy theorem. The entropies that we consider can be used as measures of biodiversity. In that context, the question is: for a given collection of species, which frequency distribution(s) maximize the diversity? The theorem provides the answer. The chief surprise is that although we are dealing with not just a single entropy, but...

2017
Songsak Sriboonchitta Vladik Kreinovich

In many practical situations, the Maximum Entropy (MaxEnt) approach leads to reasonable distributions. However, in an important case when all we know is that the value of a random variable is somewhere within the interval, this approach leads to a uniform distribution on this interval – while our intuition says that we should have a distribution whose probability density tends to 0 when we appr...

Journal: :CoRR 2015
Hélio Magalhães de Oliveira

This paper reports a new reading for wavelets, which is based on the classical ’De Broglie’ principle. The waveparticle duality principle is adapted to wavelets. Every continuous basic wavelet is associated with a proper probability density, allowing defining the Shannon entropy of a wavelet. Further entropy definitions are considered, such as Jumarie or Renyi entropy of wavelets. We proved tha...

2000
Sung Dong Kim Byoung-Tak Zhang Yung Tack Kim

Long sentence analysis has been a critical problem because of high complexity. This paper addresses the reduction of parsing complexity by intra-sentence segmentation, and presents maximum entropy model for determining segmentation positions. The model features lexical contexts of segmentation positions, giving a probability to each potential position. Segmentation coverage and accuracy of the ...

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