Dynamic Bayesian network

Known as: DBN, Dynamic Bayesian networks, Dynamical Bayesian network 
A Dynamic Bayesian Network (DBN) is a Bayesian network which relates variables to each other over adjacent time steps. This is often called a Two… (More)
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Artificial intelligenceBayesian networkBayesian programmingBioinformatics
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a pr inci led mechanism for identifying conditional dependencies in time… (More)
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Highly Cited
2009
Highly Cited
2009
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of… (More)
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Highly Cited
2009
Highly Cited
2009
Time-Varying Dynamic Bayesian Networks
Directed graphical models such as Bayesian networks are a favored formalism for modeling the dependency structures in complex… (More)
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Highly Cited
2008
Highly Cited
2008
Measuring network security using dynamic bayesian network
Given the increasing dependence of our societies on networked information systems, the overall security of these systems should… (More)
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Highly Cited
2004
Highly Cited
2004
Advances to Bayesian network inference for generating causal networks from observational biological data
MOTIVATION Network inference algorithms are powerful computational tools for identifying putative causal interactions among… (More)
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Highly Cited
2003
Highly Cited
2003
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine… (More)
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Highly Cited
2003
Highly Cited
2003
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
MOTIVATION Bayesian networks have been applied to infer genetic regulatory interactions from microarray gene expression data… (More)
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Highly Cited
2002
Highly Cited
2002
Dynamic bayesian networks: representation, inference and learning
Dynamic Bayesian Networks: Representation, Inference and Learning by Kevin Patrick Murphy Doctor of Philosophy in Computer… (More)
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Highly Cited
2002
Highly Cited
2002
Dynamic Bayesian Networks ∗
Chapter ?? introduced hidden Markov models (HMMs), and Chapter ?? introduced state space models (SSMs), both of which are popular… (More)
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Highly Cited
2000
Highly Cited
2000
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful sampling­ based inference/learning algorithms for dynamic Bayesian networks (DBNs). They… (More)
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