Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Recent work has shown that the probabilistic SLAM approach of explicit uncertainty propagation can succeed in permitting repeatable 3D real-time localization and mapping even in th...
Javier Civera, Andrew J. Davison, J. M. M. Montiel
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
This poster presents ongoing research on how discursive and editing behaviors are regulated on Wikipedia by means of documented rules and practices. Our analysis focuses on three ...
Jonathan T. Morgan, Katie Derthick, Toni Ferro, El...
In this paper we study the modelling of consensus reaching in a ‘soft’ environment, i.e. when the individual testimonies are expressed as fuzzy preference relations. Here cons...
Mario Fedrizzi, Michele Fedrizzi, Ricardo A. Marqu...