Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Abstract-- Optimal communication/control analysis and design of dynamical controlled systems, when there are finite capacity communication constraints often involve information and...
Charalambos D. Charalambous, Christos K. Kourtella...
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ...
Exploring services for digital libraries (DLs) include two major paradigms, browsing and searching, as well as other services such as clustering and visualization. In this paper, ...
Combinatorial auctions have been studied by the multiagent systems community for some time, since these auctions are an effective mechanism for resource allocation when agents are...