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Decompositions

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Part of the book series: Texts in Computer Science ((TCS))

Abstract

The objective of this chapter is to connect the concepts of conditional independence with the separation in graphs.

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References

  • C. Borgelt, M. Steinbrecher, R. Kruse, Graphical Models–Representations for Learning, Reasoning and Data Mining, 2nd edn. (Wiley, Chichester, United Kingdom, 2009)

    MATH  Google Scholar 

  • A.P. Dawid, Conditional Independence in Statistical Theory. J. R. Stat. Soc. Series B (Methodological), 41(1), 1–31. Blackwell, Oxford, United Kingdom (1979)

    Google Scholar 

  • J. Gebhardt, R. Kruse, Knowledge-Based Operations, for Graphical Models in Planning. Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU, Barcelona, Spain), LNAI 3571:3–14 (Springer-Verlag, Berlin, Germany, 2005)

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  • J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann, San Mateo, CA, USA, 1988)

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  • J. Pearl, A. Paz, Graphoids: A Graph Based Logic for Reasoning about Relevance Relations, in Advances in Artificial Intelligence 2, 357–363, ed. by B.D. Boulay, D. Hogg, L. Steels (North Holland, Amsterdam, Netherlands, 1987)

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  • M. Studeny, Multiinformation and the Problem of Characterization of Conditional Independence Relations. Probl. Control Inf. Theory 1, 3–16 (1989)

    MathSciNet  MATH  Google Scholar 

  • M. Studeny, Conditional Independence Relations Have No Finite Complete Characterization. Kybernetika 25:72–79. Institute of Information Theory and Automation, Prague, Czech Republic (1990)

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Correspondence to Rudolf Kruse , Christian Borgelt , Christian Braune , Sanaz Mostaghim or Matthias Steinbrecher .

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© 2016 Springer-Verlag London

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Kruse, R., Borgelt, C., Braune, C., Mostaghim, S., Steinbrecher, M. (2016). Decompositions. In: Computational Intelligence. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-7296-3_23

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  • DOI: https://doi.org/10.1007/978-1-4471-7296-3_23

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-7294-9

  • Online ISBN: 978-1-4471-7296-3

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