We argue that parameterized complexity is a useful tool with which to study global constraints. In particular, we show that many global constraints which are intractable to propag...
Christian Bessiere, Emmanuel Hebrard, Brahim Hnich...
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
This paper presents a new technique, called Symbolic Program Decomposition (or SPD), for symbolic execution of multiple paths that is more scalable than existing techniques, which...
Feature models are a common way to represent variability in software product line engineering. For this purpose, most authors use a graphical notation based on FODA. The main drawb...
Quentin Boucher, Andreas Classen, Paul Faber, Patr...
Geo-referenced information is used by a growing number of “spatially-aware” tools in different application areas, including tourism, marketing, environmental management, and m...