We consider distributions of ordered random vectors with given one-dimensional marginal distributions. We give an elementary necessary and sufficient condition for the existence of such a distribution with finite entropy. In this case, we give explicitly the density of the unique distribution which achieves the maximal entropy and compute the value of its entropy. This density is the unique one...

A common approach behind measuring anonymity is that the larger the anonymity set is the higher the degree of anonymity it supports. Our approach builds upon this intuition proposing a very general and yet precise measure for security properties. Introduced in a paper accepted for ARES 2013 conference, plausibilistic entropy promises to offer an expressive and cost effective solution for quanti...

We consider the problem of learning from noisy side information in the form of pairwise constraints. Although many algorithms have been developed to learn from side information, most of them assume perfect pairwise constraints. Given the pairwise constraints are often extracted from data sources such as paper citations, they tend to be noisy and inaccurate. In this paper, we introduce the gener...

In our previous work we suggested a way for computing the non-life insurance premium. The probable surplus of the insurer company assumed to be distributed according to the canonical ensemble theory. The Esscher premium principle appeared as its special case. The difference between our method and traditional principles for premium calculation was shown by simulation. Here we construct a theoret...

Drug discovery applies multidisciplinary approaches either experimentally, computationally or both ways to identify lead compounds to treat various diseases. While conventional approaches have yielded many US Food and Drug Administration (FDA)-approved drugs, researchers continue investigating and designing better approaches to increase the success rate in the discovery process. In this article...

In this paper we describe a morphological analysis method based on a maximum entropy model. This method uses a model that can not only consult a dictionary with a large amount of lexical information but can also identify unknown words by learning certain characteristics. The model has the potential to overcome the unknown word problem.

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 ...

Counterexamples are constructed for some plausible conjectures. Typical of these: as the Maximum Principle ensures that positive boundary data give a positive state at time T from 0 initial data, one might (plausibly, but falsely) conjecture that all positive terminal states should be approximately reachable in this way, i.e., subject to the requirement that the boundary data stays nonnegative.

A predictive model for droplet size and velocity distributions of a pressure swirl atomizer has been proposed based on the maximum entropy formalism (MEF). The constraint conditions of the MEF model include the conservation laws of mass, momentum, and energy. The effects of liquid swirling strength, Weber number, gas-to-liquid axial velocity ratio and gas-to-liquid density ratio on the droplet ...