This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Retrieving relevant information in Data and Knowledge Bases containing a large number of di erent types of information is a non trivial problem. That is the reason why, in areas l...
This paper presents a multicast algorithm for peer-topeer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain ...