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The paper provides an exhaustive description of a new system serving learning, viewing and reasoning with Bayesian networks.
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Proposal of a Bayesian Network InterOperab Address="http://www.ipipan.waw.pl"crit2/index.html
dBASE III,IV,5 DBF file format:http://www.apptools.com/dbase/faq/qformt.htm
JavaBayes. URL:http://www.cs.cmu.edu/People/javabayes/index.html, its Bayesian network formats BIF version 0.15BIF version 0.1 XMLBIF ver. 0.3 http://www.cs.cmu.edu/javabayes/Home/node7.html#SECTION0071000000 0000000000
Microsoft Belief Network Tools for Bayesian Inference, URL: http://www.research.microsoft.com/research/dtg/msbn, its XML Belief Network File Format:http://www.research.microsoft.com/dtas/bnformat
MCL++ Library of Machine Learning functions:http://www.sgi.com/Technology/m1c
Information about Hugin: URL:http://www.hugin.dk
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Kłopotek, M.A., Wierzchoń, S.T., Michalewicz, M., Bednarczyk, M., Pawłowski, W., Wąsowski, A. (2001). Bayesian Network Mining System. In: Kłopotek, M.A., Michalewicz, M., Wierzchoń, S.T. (eds) Intelligent Information Systems 2001. Advances in Intelligent and Soft Computing, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1813-0_16
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DOI: https://doi.org/10.1007/978-3-7908-1813-0_16
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