As we reach the limits of single-core computing, we are promised more and more cores in our systems. Modern architectures include many performance counters per core, but few or no...
Paul E. West, Yuval Peress, Gary S. Tyson, Sally A...
In this paper, we propose a general-purpose framework that harnesses the power of lightweight virtualization to track applications interactions in a scalable an efficient manner. ...
Yih Huang, Angelos Stavrou, Anup K. Ghosh, Sushil ...
The interdisciplinary project uses a variety of research designs, data collection methodologies, and analysis techniques and two ballot designs to assess five commercially availab...
Paul S. Herrnson, Richard G. Niemi, Benjamin B. Be...
Road network data is often incomplete, making it hard to perform network analysis. This paper discusses the problem of extending partial road networks with reasonable links, using...
Boris Aronov, Kevin Buchin, Maike Buchin, B. Janse...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...