The vision of dataspaces has been articulated as providing various of the benefits of classical data integration but with reduced up-front costs, which, combined with opportunitie...
Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norma...
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
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...
Biodiversity databases have recently become widely available to the public and to other researchers. To retrieve information from these resources, users must understand the underl...
Bongshin Lee, Cynthia Sims Parr, Dana Campbell, Be...
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...