End-to-end data processing environments are often comprised of several independently-developed (sub-)systems, e.g. for engineering, organizational or historical reasons. Unfortuna...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
In wireless networks, the channels are often subject to random variations that limit the reliability of communications between any two radios. Geographic transmission strategies ca...
Murali Rao, Tathagata D. Goswami, Joseph Glover, J...
We develop a general theory of the swelling kinetics of polymer gels, with the view that a polymer gel is a two-phase fluid. The model we propose is a free boundary problem and ca...
James P. Keener, Sarthok Sircar, Aaron L. Fogelson
We study the problem of generating synthetic databases having declaratively specified characteristics. This problem is motivated by database system and application testing, data ...