Energy consumption is a major and costly problem in data centers. A large fraction of this energy goes to powering idle machines that are not doing any useful work. We identify tw...
Andrew Krioukov, Prashanth Mohan, Sara Alspaugh, L...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Design of programmable processors and embedded applications requires instruction-set simulators for early exploration and validation of candidate architectures. Interpretive simul...
Large sensor networks in applications such as surveillance and virtual classrooms, have to deal with the explosion of sensor information. Coherent presentation of data coming from...
Shichao Ou, Deepak R. Karuppiah, Andrew H. Fagg, E...