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Belief Propagation in Bayesian Network

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Advances in Computer Science and its Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 279))

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Abstract

The current article describes the belief propagation in Bayesian Network. Existing books or online tutorials do not contain explanations with enough detail for a novice to understand the mathematics behind the method. Using a real example of Water Quality model, this report will help anyone to understand the belief propagation in Bayesian Network without much knowledge in probability calculus.

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References

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Author information

Authors and Affiliations

  1. Samsung Electronics, Suwon, South Korea

    Ji Ryang Chung

  2. Department of Computer Science & Engineering, Gangneung-Wonju National University, Wonju, South Korea

    Gangman Yi

Authors
  1. Ji Ryang Chung
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  2. Gangman Yi
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Corresponding author

Correspondence to Ji Ryang Chung .

Editor information

Editors and Affiliations

  1. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa Young Jeong

  2. Computer Science & Software Engineering, Monmouth University, W. Long Branch, New Jersey, USA

    Mohammad S. Obaidat

  3. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Neil Y. Yen

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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© 2014 Springer-Verlag Berlin Heidelberg

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Chung, J.R., Yi, G. (2014). Belief Propagation in Bayesian Network. In: Jeong, H., S. Obaidat, M., Yen, N., Park, J. (eds) Advances in Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41674-3_51

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  • DOI: https://doi.org/10.1007/978-3-642-41674-3_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41673-6

  • Online ISBN: 978-3-642-41674-3

  • eBook Packages: EngineeringEngineering (R0)

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