Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
In this paper, the arrival of calls (i.e., new and handoff calls) in a personal communications services (PCS) network is modeled by a Markov arrival process (MAP) in which we allow...
— Structured Peer to Peer (P2P) overlay networks are becoming increasingly popular. Multi-hop systems achieve a successful lookup in O(log N) hops, whereas one-hop systems approa...
Mario Kolberg, Florence Kolberg, Alan Brown, John ...
We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatori...
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...