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Bayesian networks in reliability [PDF]
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of statistical problems. We have also seen a growing interest for using BNs in the reliability analysis community. In this paper we will discuss the properties of the modelling framework that make BNs particularly well suited for reliability applications ...
Helge Langseth, Luigi Portinale
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Some of the next articles are maybe not open access.
Wiley Interdisciplinary Reviews: Computational Statistics, 2009
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Finn V Jensen
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AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Finn V Jensen
exaly +2 more sources
Bayesian learning for neural networks: an algorithmic survey
Artificial Intelligence Review, 2023Alexandros Iosifidis, Martin Magris
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Discrete Bayesian Network Classifiers: A Survey
ACM Computing Surveys, 2014Concha Bielza, Pedro Larranaga
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The use of Bayesian network modelling for maintenance planning in a manufacturing industry
Reliability Engineering and System Safety, 2010Zaili Yang, Jin Wang, I Jenkinson
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Advantages and challenges of Bayesian networks in environmental modelling
Ecological Modelling, 2007Laura Uusitalo
exaly
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network
Reliability Engineering and System Safety, 2020Eduardo Blanco-Davis +2 more
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Learning Bayesian networks: The combination of knowledge and statistical data
Machine Learning, 1995Dan Geiger
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Bayesian networks inference algorithm to implement Dempster Shafer theory in reliability analysis
Reliability Engineering and System Safety, 2008Philippe Weber +2 more
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