Maximum Entropy Modeling Toolkit

D ec 1 99 6 Maximum Entropy Modeling Toolkit Draft December 31 , 1996

A Note on the Bivariate Maximum Entropy Modeling

Let X=(X1 ,X2 ) be a continuous random vector. Under the assumption that the marginal distributions of X1 and X2 are given, we develop models for vector X when there is partial information about the dependence structure between X1  and X2. The models which are obtained based on well-known Principle of Maximum Entropy are called the maximum entropy (ME) mo...

Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price

In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf) estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is consi...

Habitat suitability modeling of water birds and waders in Hamun wetland by by Maximum Entropy model

Climate change and human activities have increased negative pressure on natural ecosystems. Wetlands are such ecosystems that widely affected by these negative changes. Birds as a part of wildlife in a wetland have damaged by destruction of wetlands, so, a large group of them, are at risk of extinction. Habitat destruction in wetlands in arid and semi-arid areas has more negative effects on the...

Maximum Entropy Part-of-Speech Tagging in NLTK

In this paper we implement a part of speech tagger for NLTK using maximum entropy methods. Our tagger can be used as a drop-in replacement for any of the other NLTK taggers. We give a brief tutorial on how to use our tagger as well as describing the implementation at a high level. We evaluate our tagger on the Penn Tree Bank and compare our results to those of previous work.