The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
Numerous widely publicized cases of theft and misuse of private information underscore the need for audit technology to identify the sources of unauthorized disclosure. We present...
Rakesh Agrawal, Alexandre V. Evfimievski, Jerry Ki...
In this paper, we consider minimizing the system-level energy consumption through dynamic voltage scaling for embedded devices, while a) allowing concurrent access to shared objec...