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NIPS
2004
15 years 6 months ago
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks
We introduce a computationally efficient method to estimate the validity of the BP method as a function of graph topology, the connectivity strength, frustration and network size....
Joris M. Mooij, Hilbert J. Kappen
IJDMB
2008
105views more  IJDMB 2008»
15 years 4 months ago
Temporal representation for gene networks: towards a qualitative temporal data mining
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
Nicolas Turenne, Sylviane R. Schwer
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 4 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
PE
2002
Springer
124views Optimization» more  PE 2002»
15 years 4 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 3 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...