Characterization of Dynamic Bayesian Network

In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and method...

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Bibliographic Details
Main Authors ghanmy, Nabil, Mahjoub, Mohamed Ali, Amara, Najoua Essoukri Ben
Format Journal Article
LanguageEnglish
Published 07.04.2012
Subjects
Computer Science - Artificial Intelligence
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Summary:In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and methods of creating DBNs as well as approaches of incorporating temporal dimension in static Bayesian network.
Bibliography:2156-5570
DOI:10.48550/arxiv.1204.1637