Recent advances in ecological modeling have focused on novel methods for characterizing the environment that use presence-only data and machine-learning algorithms to predict the likelihood of species occurrence. These novel methods may have great potential for land suitability applications in the developing world where detailed land cover information is often unavailable or incomplete. This pa...

In the present study, we have defined, so-called, MaxEnt and MinxEnt functionals on the set of corresponding moment vector functions via the MaxEnt and MinxEnt optimization measures. By virtue of these functionals we have obtained two new distributions – MinMaxEnt and MaxMinxEnt distributions. The approach to obtain mentioned distributions can be formulated as a generalization of MaxEnt and Min...

Maximum Entropy (maxent) models are an attractive formalism for statistical models of many types and have been used for a number of purposes, including language modeling (Rosenfeld 1994), part of speech tagging (Ratnaparkhi 1996), prepositional phrase attachment (Ratnaparkhi 1998), sentence breaking (Reynar and Ratnaparkhi 1997) and parsing (Ratnaparkhi 1997). Maxent models allow the combinatio...

Peru is one of the world’s leading exporters cocoa beans, which directly impacts household economy millions small farmers. Currently, expansion and modernization cocoa-growing area require zoning territory with suitable biophysical infrastructural conditions to facilitate optimizing productivity factors. Therefore, we analyzed land suitability for (Theobroma cacao L.) production on Peruvian mai...

We propose a natural generalization of Regularized Maximum Entropy Density Estimation (maxent) to handle input data with unknown values. While standard approaches to handling missing data usually involve estimating the actual unknown values, then using the estimated, complete data as input, our method avoids the two-step process and handles unknown values directly in the maximum entropy formula...

Though the GYDER system has achieved the highest accuracy scores for the metonymy resolution shared task at SemEval-2007 in all six subtasks, we don’t consider the results (72.80% accuracy for org, 84.36% for loc) particularly impressive, and argue that metonymy resolution needs more features.

Two mirror symmetric versions of the maximum entropy (MaxEnt) methodology are introduced and compared: (1) A posteriori MaxEnt Independent Component Analysis (ICA) H(V) was proposed by Bell, Sejnowski, Amari, Oja (BSAO) (early by Jutten & Herault, Comon and Cardoso (JHCC) in France). It is ambitious to factorize the unknown joint-probability density function (j-pdf) using the post processing al...

This paper proposes a new method for blind inversion of a monotonic nonlinear map applied to a sum of random variables. Such kinds of mixtures of random variables are found in source separation and Wiener system inversion problems, for example. The importance of our proposed method is based on the fact that it permits to decouple the estimation of the nonlinear part (nonlinear compensation) fro...