Introduction to Bayesian Networks
By Emilia Mendes. 2014
1,267 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/9916e1c46941b527c923e1ade4c94d46c7b092b8
How researchers see this paper
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In Artificial Intelligence
- Vasileios Iosifidis
- Gabriela Medina-Oliva
- Benoît Iung
- Tai Le Quy
- Eirini Ntoutsi
- Arjun Roy
- Christophe Simon
- Philippe Weber
Citations in the corpus
- A survey on datasets for fairness‐aware machine learning (2021, background): “A Bayesian network (BN) (Holmes & Jain, 2008) is a directed and acyclic probabilistic graphical model which provides a graphical representation to understand the complex relationships between a set of random variables.”
- Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas (2012, methodology): “The principles of this modeling tool are explained in (Jensen, 1996; Pearl et al .”