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UAI
1992
13 years 10 months ago
Exploring Localization in Bayesian Networks for Large Expert Systems
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
Yang Xiang, David Poole, Michael P. Beddoes
AIMS
2007
Springer
14 years 3 months ago
Self-forming Network Management Topologies in the Madeira Management System
This paper describes a novel approach to network management topologies where multiple customized topologies are self-configured, self-optimized, and maintained automatically by the...
Liam Fallon, Daryl Parker, Martin Zach, Markus Lei...
CIDM
2007
IEEE
14 years 4 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
ECAI
2004
Springer
14 years 1 months ago
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
Linda C. van der Gaag, Eveline M. Helsper
UAI
2008
13 years 11 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen