Байесовские сети доверия: инструменты и использование в учебном процессе.
Ключевые слова:
байесовкие сети доверия, БСД
Аннотация
Байесовские сети доверия благодаря своей наглядности и популярности в различных областях науки являются перспективным математическим и программным инструментом для использования и изучения в высших учебных заведениях. В работе дается небольшое введение в байесовские сети доверия, описываются программные системы для работы с ними. Далее некоторые, наиболее популярные и известные, программные системы более подробно описываются на примере модели оценки интенсивности социально-значимого поведения, являющейся составной частью реальных научно-исследовательских проектов как студентов, так и аспирантов.
Литература
[1] A.V. Suvorova, A. L. Tulupyev, and A. V. Sirotkin, “Baiesovskie seti doveriya v zadachakh otsenivaniya intensivnosti riskovannogo povedeniya” [Software for synthesis of Bayesian belief networks from individual episodes of risky behavior], Nechetkie Sistemy i Myagkie Vychisleniya, vol. 9, no. 2, pp. 115–129, 2014 (in Russian).
[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
[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
Опубликован
2017-06-04
Как цитировать
Торопова, А. В. (2017). Байесовские сети доверия: инструменты и использование в учебном процессе. Компьютерные инструменты в образовании, (4), 43-53. извлечено от http://cte.eltech.ru/ojs/index.php/kio/article/view/1406
Выпуск
Раздел
Подготовка специалистов: программы обучения
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