Bayesian networks originated as a framework for distributed reasoning. In singlyconnected networks, there exists an elegant inference algorithm that can be implemented in parallel having a processor f...
Perfect sampling allows exact simulation of random variables from the stationary measure of a Markov chain. By exploiting monotonicity properties of the slice sampler we show that a perfect version of...
In current medical research, a growing interest can be observed in the definition of a global therapy-evaluation framework which integrates considerations such as patients preferences and quality-of-l...
To construct accurate Internet maps, traceroute-based mapping efforts must group interface IP addresses into routers, a task known as alias resolution. In this paper, we introduce two new alias resolu...
. In the last three years we have been working with persistence and distribution, in particular migration of higher-level objects (such as procedures) between autonomous persistent programs. In this p...
The traditional approach for building distributed applications is by calling a procedure in another store using an RPC mechanism. However, an RPC requires a round-trip network delay for every call and...