Bayesian Belief Networks: a Tool for Education Use
Keywords:
bayesian belief networks, BBN
Abstract
Bayesian belief networks science are a perspective mathematical and software tool for use and study in higher educational institutions because of its clarity and popularity in different scientific research fields. A brief introduction to Bayesian belief network is given, the software systems for working with them are described. Some software systems more popular and famous are described in the details by the example of socially significant behavior model, which is a part of the actual research projects of both students and postgraduates.
References
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[3] A. V. Toropova, A.V. Suvorova, and A. L. Tulupyev, “Diagnostika soglasovannosti v modeli dlya otseni-vaniya intensivnosti sotsial'no-znachimogo povedeniya” [Model for socially significant behavior rate estimate: consistency diagnostics], Nechetkie Sistemy i Myagkie Vychisleniya, vol. 10, no. 1, pp. 93–107, 2015 (in Russian).
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[2] A. V. Toropova, “Podkhody k diagnostike soglasovannosti dannykh v baiesovskikh setyakh doveriya” [Approaches to the Data Coherence Diagnosis in Bayesian Belief Network Models], SPIIRAS Proceedings, no. 6(43), pp. 156–178, 2015 (in Russian).
[3] A. V. Toropova, A.V. Suvorova, and A. L. Tulupyev, “Diagnostika soglasovannosti v modeli dlya otseni-vaniya intensivnosti sotsial'no-znachimogo povedeniya” [Model for socially significant behavior rate estimate: consistency diagnostics], Nechetkie Sistemy i Myagkie Vychisleniya, vol. 10, no. 1, pp. 93–107, 2015 (in Russian).
[4] A. L. Tulupyev, S. I. Nikolenko, and A. V. Sirotkin, Baiesovskie seti: logiko-veroyatnostnyi podkhod [Bayesian network: the logical-probabilistic approach], St. Petersburg, Russia: Nauka, 2006 (in Russian).
[5] A. L. Tulupyev, A. V. Sirotkin, and S. I. Nikolenko Baiesovskie setidoveriya: logiko-veroyatnostnyi vyvod v atsiklicheskikh napravlennykh grafakh [Bayesian belief network: logical-probabilistic inference in the acyclic directed graph], St. Petersburg, Russia: St. Petersburg University, 2009 (in Russian).
[6] Agenarisk. [Online]. Available: http://www.agenarisk.com.
[7] Bayes Server, [Online]. Available: http://www.bayesserver.com.
[8] BayesBuilder, [Online]. Available: http://www.snn.ru.nl/nijmegen/index.php?option=com_content&view=article&id=89&Itemid=212.
[9] BayesiaLab, [Online]. Available: http://www.bayesia.com.
[10] Bayes-Scala, [Online]. Available: https://github.com/danielkorzekwa/bayes-scala
[11] BNL, [Online]. Available: http://www.downscripts.com/bnl_matlab-script.html
[12] bnlearn, [Online]. Available: https://cran.r-project.org/web/packages/bnlearn/bnlearn.pdf
[13] BNT, [Online]. Available: https://code.google.com/p/bnt
[14] BUGS, In MRC Biostatistics Unit, [Online]. Available: http://www.mrc-bsu.cam.ac.uk/software/bugs/
[15] catnet [Online]. Available: https://cran.r-project.org/web/packages/catnet/catnet.pdf
[16] CRAN Task View: Bayesian Inference, [Online]. Available: https://cran.rproject.org/web/views/Bayesian.html
[17] deal [Online]. Available: https://cran.r-project.org/web/packages/deal/deal.pdf
[18] Dimple [Online]. Available: https://github.com/AnalogDevicesLyricLabs/dimple
[19] Elvira [Online]. Available: http://leo.ugr.es/elvira
[20] Factory [Online]. Available: http://factorie.cs.umass.edu
[21] GeNIe Modeler in BayesFusion, LLC. Data Analytics, Mathematical Modeling, Desion Support. [Online]. Available: http://www.bayesfusion.com/
[22] gRain [Online]. Available: https://cran.r-project.org/web/packages/gRain/vignettes/gRain-intro.pdf
[23] Hugin Expert, [Online]. Available: http://www.hugin.com
[24] Infer.NET [Online]. Available: http://research.microsoft.com/en-us/um/cambridge/projects/infernet
[25] libDAI, [Online]. Available: https://staff.fnwi.uva.nl/j.m.mooij/libdai
[26] K. Murphy “Software Packages for Graphical Models,” [Online]. Available: http://www.cs.ubc.ca/~murphyk/Software/bnsoft.html
[27] Netica, [Online]. Available: http://www.norsys.com/
[28] A. Nicholson and K. Korb, “Appendix B. Software Packages,“ [Online]. Available: http://www.csse.monash.edu.au/bai/book1e/appendix_b.pdf
[29] OpenGM2, [Online]. Available: http://hci.iwr.uni-heidelberg.de/opengm2
[30] J. Perl, Causality: Models, Reasoning, and Inference. New York, NY: Cambridge University Press, 2000.
[31] PyMC, [Online]. Available: http://pymc-devs.github.io/pymc
[32] Stan [Online]. Available: http://mc-stan.org
[33] Weka [Online]. Available: http://www.cs.waikato.ac.nz/ml/weka
[34] XBAIES 2.0, in Robert Cowell’ s Personal Home Pages: Software [Online]. Available: http://www.staff.city.ac.uk/~rgc/software.html
Published
2017-06-04
How to Cite
Торопова, А. В. (2017). Bayesian Belief Networks: a Tool for Education Use. Computer Tools in Education, (4), 43-53. Retrieved from http://cte.eltech.ru/ojs/index.php/kio/article/view/1406
Issue
Section
Training of specialits: studying programms
This work is licensed under a Creative Commons Attribution 4.0 International License.
