In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
This paper describes an ecient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn ...
This paper introduces a new high level programming language for a novel class of computational devices namely data-procedural machines. These machines are by up to several orders o...
This paper presents an analysis of utilizing unused cycles on supercomputers through the use of many small jobs. What we call “interstitial computing,” is important to superco...
In the 2006 U.S. election, it was estimated that over 66 million people would be voting on direct recording electronic (DRE) systems in 34% of the nation's counties [8]. Alth...
Sarah P. Everett, Kristen K. Greene, Michael D. By...