Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that maximizes an entropy function while respecting prior information represented as potential functions in miscellaneous forms of constraints and/or penalties. We extend this framework to semi-supervised learning by incorpora...

Impervious surface area is a direct consequence of the urbanization, which also plays an important role in urban planning and environmental management. With the rapidly technical development of remote sensing, monitoring urban impervious surface via high spatial resolution (HSR) images has attracted unprecedented attention recently. Traditional multi-classes models are inefficient for imperviou...

A single and self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. We have shown that the crystallite-size distribution can be determined without assuming a functional form for the size distribution, determining instead the size distribution with the least assumptions by applying the Bayesian/MaxEnt method. The ...

The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at different levels. The other is to design more detailed tags with human knowledge in order to represent complex structures. The experiments on Chinese organization names recognition indicate that layered structures result in more accurate mode...

We consider lower and upper bounds on the difference of differential entropies of a Gaussian random vector and an almost Gaussian random vector after both are “smoothed” by an arbitrarily distributed random vector of finite power. These bounds are important to prove the optimality of corner points in the capacity region of Gaussian interference channels. The upper bound, presented in MaxEnt-201...

Given the impact that climate change is projected to have on agriculture, it essential understand mechanisms and conditions drive agricultural land suitability. However, existing literature does not provide sufficient guidance best modeling methodology study crop suitability, there even less research how evaluate accuracy of such models. Further, studies yet demonstrate use Maximum Entropy (Max...

ConIII (pronounced CON-ee) is an open-source Python project providing a simple interface to solving maximum entropy models, with a focus on the Ising model. We describe the maximum entropy problem and give an overview of the algorithms that are implemented as part of ConIII (https://github.com/bcdaniels/coniii) including Monte Carlo histogram, pseudolikelihood, minimum probability flow, a regul...