Belief propagation in Bayesian network

Ji Ryang Chung, Gangman Yi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvanced in Computer Science and Its Applications, CSA 2013
PublisherSpringer Verlag
Pages353-361
Number of pages9
ISBN (Print)9783642416736
DOIs
StatePublished - 2014
Event5th FTRA International Conference on Computer Science and its Applications, CSA 2013 - Danang, Viet Nam
Duration: 18 Dec 201321 Dec 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume279 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference5th FTRA International Conference on Computer Science and its Applications, CSA 2013
Country/TerritoryViet Nam
CityDanang
Period18/12/1321/12/13

Keywords

  • bayesian network
  • water quality

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