Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Computational experiments have become an integral part of the scientific method, but reproducing, archiving, and querying them is still a challenge. The first barrier to a wider...
—This paper addresses the joint selection and power assignment of a largest set of given links which can communicate successfully at the same time under the physical interference...
—Software packet forwarding has been used for a long time in general purpose operating systems. While interesting for prototyping or on slow links, it is not considered a viable ...
A major problem in web database applications and on the Internet in general is the scalable delivery of data. One proposed solution for this problem is a hybrid system that uses m...
Jonathan Beaver, Nicholas Morsillo, Kirk Pruhs, Pa...