As computers and other information technology move into cars and trucks, distraction-related crashes are likely to become an important problem. This paper begins to address this p...
In the future, interactive robots will perform many helpful tasks. In 5 studies, we developed techniques for measuring the richness and content of people's mental models of a...
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
This paper introduces minimal subset evaluation (MSE) as a way to reduce time spent on large-structure warm-up during the fastforwarding portion of processor simulations. Warm up ...