The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
In this paper we explore which bundles of services are attractive to users. We look specifically in bundle composition with navigation services as core, and travel and entertainme...
— We explore an on-line problem where a group of robots has to reach a target whose position is known in an unknown planar environment whose geometry is acquired by the robots du...