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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 52, 2020 Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v44.i10.50
pages 60-68

Properties of Separation Procedures in the Models of Bayesian Networks

Alexandra A. Vagis
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Artur S. Koval
Kiev department of Moscow Physico-technical Institute of Physico-technical Scientific and Training Center of National Academy of Sciences of Ukraine

Краткое описание

It is shown that for discrete objects, constructed on limited samples, there are examples that confirm both the faithfulness assumption, and examples for which they are not fulfilled. Thus, the properties of separation procedures for the continuous models do not hold for discrete objects.

ЛИТЕРАТУРА

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  3. Neapolitan R.E. , Learning Bayesian networks, Prentice Hall, Upper Saddle River, 2004.

  4. Sergienko I.V., Gupal A.M., Vagis A.A. , Symmetry in encoding genetic information in DNA.

  5. Sergienko I.V., Gupal A.M., Vagis A.A. , Symmetry and properties of the recording information in DNA.

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