Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
The paper addresses the problem of explaining some reasoning tasks associated with the DL-Lite Description Logic. Because of the simplicity of the language, standard concept level ...
Alexander Borgida, Diego Calvanese, Mariano Rodrig...
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...