An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
This paper presents Clusterfile, a parallel file system that provides parallel file access on a cluster of computers. Existing parallel file systems offer little control over matc...
— Market and customer demands have continued to push the limits of CMOS performance. At-speed test has become a common method to ensure these high performance chips are being shi...
Jeremy Lee, Sumit Narayan, Mike Kapralos, Mohammad...