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UAI
2001
13 years 8 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
TSMC
2011
250views more  TSMC 2011»
13 years 2 months ago
Markov Models for Biogeography-Based Optimization
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...
Dan Simon, Mehmet Ergezer, Dawei Du, Richard Allen...
PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 5 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
TWC
2011
291views more  TWC 2011»
13 years 2 months ago
On Optimal Cooperator Selection Policies for Multi-Hop Ad Hoc Networks
Abstract—In this paper we consider wireless cooperative multihop networks, where nodes that have decoded the message at the previous hop cooperate in the transmission toward the ...
Michele Rossi, Cristiano Tapparello, Stefano Tomas...
IJON
2010
189views more  IJON 2010»
13 years 5 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin