The goal of this work is to provide users immersed in a multi-platform environment with the possibility of interacting with an application while freely moving from one device to a...
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Knowledge extraction from data volumes of ever increasing size requires ever more flexible tools to facilitate interactive query. Interactivity enables real-time hypothesis testin...
Kenny Gruchalla, Mark Rast, Elizabeth Bradley, Joh...
Long running decision support queries can be resource intensive and often lead to resource contention in data warehousing systems. Today, the only real option available to the DBA...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...