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ICASSP
2009
IEEE
14 years 4 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
WINET
2002
80views more  WINET 2002»
13 years 9 months ago
A Homogeneous PCS network with Markov Call Arrival Process and Phase Type Cell Residence Time
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...
Attahiru Sule Alfa, Wei Li
ICC
2007
IEEE
102views Communications» more  ICC 2007»
14 years 4 months ago
A Markov Model for the EpiChord Peer-to-Peer Overlay in an XCAST enabled Network
— 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 ...
UAI
2001
13 years 11 months ago
Maximum Likelihood Bounded Tree-Width Markov Networks
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...
Nathan Srebro
TSP
2010
13 years 4 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji