This paper presents results for a maximumentropy-based part of speech tagger, which achieves superior performance principally by enriching the information sources used for tagging. In particular, we get improved results by incorporating these features: (i) more extensive treatment of capitalization for unknown words; (ii) features for the disambiguation of the tense forms of verbs; (iii) featur...

The variational method with constraints recently developed by Verkley and Gerkema to describe maximumentropy atmospheric profiles is generalized to ideal gases but with temperature-dependent specific heats. In so doing, an extended and non standard potential temperature is introduced that is well suited for tackling the problem under consideration. This new formalism is successfully applied to ...

Multi-label classification can be applied to study empirically discrete choice problems, in which each individual chooses more than one alternative. We applied the Classifier Chain (CC) method to transform the Generalized MaximumEntropy (GME) choicemodel from a single-label model to amulti-label model. The contribution of our CC-GMEmodel lies in the advantages of both the GME and CC models. Spe...

Optimal transport distances are a fundamental family of distances for probability measures and histograms of features. Despite their appealing theoretical properties, excellent performance in retrieval tasks and intuitive formulation, their computation involves the resolution of a linear program whose cost can quickly become prohibitive whenever the size of the support of these measures or the ...

Motivation: The growing number of specialized databases in molecular biology, coupled with the huge increase in the availability of molecular data, necessitates the development of automatic methods for finding and adding relevant information to these databases. Results: We show how a general protein database (Swiss-Prot) can be used as a source of data for a more specialized one (TCDB, the Tran...

In the last few years, we have seen an upsurge of interest in content-based image retrieval (CBIR){ the selection of images from a collection via features extracted from images themselves. Typically the nearest-neighbor rule is used to retrieve images from a query image. However, the underlying query distribution may not be isotropic in nature. Hence, a more sophisticated estimation for the que...

The present paper investigates the efficiency and robustness of different real-time dynamic origindestination (O-D) matrix adjustment algorithms when implemented in large-scale transportation networks. The proposed algorithms produce time-dependent O-D trip matrices based on the maximumentropy trip departure times, as they are calculated with the use of simulated and actual observed link flows....

A light curve modelling and fitting program is presented for cataclysmic variable stars and related objects. It allows modelling of a three-dimensional disk in conjunction with the Roche-lobe filling secondary star, thus rendering it a very general tool for light curve analysis. Optimization of the solution is based on the maximumentropy algorithm. Some bench-mark tests are presented, and the g...

In this work we review the opportunities given by the use of local maximumentropy approximants (LME) for the simulation of forming processes. This approximation can be considered as a meshless approximation scheme, and thus presents some appealing features for the numerical simulation of forming processes in a Galerkin framework. Especially the behavior of these shape functions at the boundary ...