Abstract
The objective of this chapter is to connect the concepts of conditional independence with the separation in graphs.
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C. Borgelt, M. Steinbrecher, R. Kruse, Graphical Models–Representations for Learning, Reasoning and Data Mining, 2nd edn. (Wiley, Chichester, United Kingdom, 2009)
A.P. Dawid, Conditional Independence in Statistical Theory. J. R. Stat. Soc. Series B (Methodological), 41(1), 1–31. Blackwell, Oxford, United Kingdom (1979)
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)
J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann, San Mateo, CA, USA, 1988)
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)
M. Studeny, Multiinformation and the Problem of Characterization of Conditional Independence Relations. Probl. Control Inf. Theory 1, 3–16 (1989)
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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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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