The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
Michael Carney, Padraig Cunningham, Jim Dowling, C...
In this paper, we propose the use of records management principles to identify and manage Web site resources with enduring value as records. Current Web archiving activities, coll...
Software frameworks impose constraints on how plugins may interact with them. Many of hese constraints involve multiple objects, are temporal, and depend on runtime values. Additi...
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...