Abstract--Software transactional memory (STM) algorithms often rely on centralized components to achieve atomicity, isolation and consistency. In a distributed setting, centralized...
PN refer to the set of ties a specific individual has with other people. There is significant variation in the size of an individual’s PN and this paper explores the effect o...
Yu-En Lu, Sam Roberts, Tammy M. K. Cheng, Robin Du...
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...