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On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks

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Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

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Abstract

Several researchers have suggestedthat Bayesian networks (BNs) shouldb e usedto manage the inherent uncertainty in information retrieval. However, it has been arguedthat manually constructing a large BN is a difficult process. In this paper, we obtain the only minimal complete subset of the semi-graphoidaxiomatization governing the independency information in a BN. This result may be useful in developing an automatedBN construction procedure for information retrieval purposes.

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© 2001 Springer-Verlag Berlin Heidelberg

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Butz, C.J. (2001). On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_14

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  • DOI: https://doi.org/10.1007/3-540-45490-X_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

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