In this paper, we seek to contribute to the Ubiquitous Computing agenda by focusing on one of its earliest, but most difficult, design ambitions ? making technology "invisibl...
Peter Tolmie, James Pycock, Tim Diggins, Allan Mac...
This paper describes and analyses the early developmental stages of a community learning network based in an urban community and social service agency. With government funding, th...
Robert Luke, Andrew Clement, Randall Terada, Domin...
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O...
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...