Bayesian networks : a practical guide to applications

By O. Pourret, Patrick. Naïm, Bruce G. Marcot. 2008

404 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1cf290f0d2ca6d3d85c010b234e1f6b1cd0d32f6

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Citations in the corpus

Student modeling approaches: A literature review for the last decade (2013, background): “Student modeling is one of the key factors that affect automated tutoring systems in making instructional decisions (Li, Cohen, Koedinger, & Matsuda, 2011), since a student model enables understanding and identification of students’ needs (Sucar & Noguez, 2008).”
Learning Bayesian networks: approaches and issues (2011, unknown): “For a more thorough treatment of the area, the recent book of Pourret et al. (2008) show many examples of Bayesian networks in practice and for a nuts and bolts approach to modelling with Bayesian networks, the book by Kjaerulff and Madsen (2008) goes into detail about the various subtle facets…”
DDDAS-based multi-fidelity simulation framework for supply chain systems (2010, methodology): “The purpose of Algorithm 2 is to select the proper ﬁdelity level of each component in the system through the usage of a Bayesian Belief Network (BNN; Jensen, 2001; Pourret et al. , 2008).”
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas (2012, background): “…n in the NASA (Mengshoel et al., 2008), the reliability calculation in complex industrial process operations such as the industry of pulp and paper (Pourret et al., 2008) and the optimization of a strategic decision for improving the offshore pipelines lifetime through a cost-benefit analysis…”
Bayesian Networks in Fault Diagnosis (2017, background): “where parents (Xj ) denote set of all variables Xi ; such an arc connects node i to node j in the graph [134].”