This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
This paper extends some duality results from a standard optimization setup to a noncooperative (Nash) game framework. A Nash game (NG) with coupled constraints is considered. Solv...
This paper describes the virtual humans developed as part of the Mission Rehearsal Exercise project, a virtual reality-based training system. This project is an ambitious exercise...
William R. Swartout, Jonathan Gratch, Randall W. H...
We define transactional graph transformation systems (t-gtss), a mild extension of the ordinary framework for the double-pushout approach to graph transformation, which allows to ...
Paolo Baldan, Andrea Corradini, Fernando Luí...
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...