This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Abstract—We investigate optimal resource allocation for delaylimited cooperative communication in time varying wireless networks. Motivated by real-time applications that have st...
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
—This paper studies the problem of scheduling in single-hop wireless networks with real-time traffic, where every packet arrival has an associated deadline and a minimum fractio...
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...