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A Method for Detecting Context-Specific Independence in Conditional Probability Tables

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Rough Sets and Current Trends in Computing (RSCTC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

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Abstract

Context-specific independence is useful as it can lead to improved inference in Bayesian networks. In this paper, we present a method for detecting this kind of independence from data and emphasize why such an algorithm is needed.

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References

  1. Boutilier, C., Friedman, N., Goldszmidt, M., Koller, D.: Context-specific independence in Bayesian networks, Twelfth Conference on Uncertainty in Artificial Intelligence, 115–123, 1996.

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  2. Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, 1988.

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  3. Wong, S.K.M., Butz, C.J., Wu, D.: On the implication problem for probabilistic conditional independency. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 30, Part A, No. 6, 785–805, 2000.

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  4. Zhang, N., Poole, D.: On the role of context-specific independence in probabilistic inference, Sixteenth International Joint Conference on Artificial Intelligence, 1288–1293, 1999.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Canada, S4S 0A2

    C. J. Butz & M. J. Sanscartier

Authors
  1. C. J. Butz
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  2. M. J. Sanscartier
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Editor information

Editors and Affiliations

  1. Penn State Great Valley School of Professional Graduate Studies, 30 East Swedesford Road, Malvern, PA, 19355, USA

    James J. Alpigini

  2. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

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© 2002 Springer-Verlag Berlin Heidelberg

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Butz, C.J., Sanscartier, M.J. (2002). A Method for Detecting Context-Specific Independence in Conditional Probability Tables. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_45

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  • DOI: https://doi.org/10.1007/3-540-45813-1_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

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