A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Pocket computers are beginning to emerge that provide sufficient processing capability and memory capacity to run traditional desktop applications and operating systems on them. T...
Dirk Grunwald, Philip Levis, Keith I. Farkas, Char...
A variety of performance-enhancing techniques, such as striping, mirroring, and rotational data replication, exist in the disk array literature. Given a fixed budget of disks, one...
Xiang Yu, Benjamin Gum, Yuqun Chen, Randolph Y. Wa...
Simulation at the machine-control level plays an important role in designing machine controls and operational specifications. Recently, there has been a considerable amount of wor...