Bayesian network (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Bayesian network" in English language version.

Last modified: 22:10:19, 6 August 2026 (UTC)

Ref.Un. Ref.Website

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1111doi.org

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106books.google.com

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66arxiv.org

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53berkeley.edu

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51worldcat.org

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44psu.edu

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33ucla.edu

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22acm.org

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22adsabs.harvard.edu

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22semanticscholar.org

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22web.archive.org

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22nips.cc

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22illinois.edu

1,178^th place

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11wiley.com

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11cmu.edu

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11nih.gov

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11archives-ouvertes.fr

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11tiny-clues.eu

low place

11jmlr.org

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11duke.edu

1,851^st place

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acm.org (Global: 1,200^th place; English: 821^st place)

dl.acm.org

Pearl J (1994). "A Probabilistic Calculus of Actions". In Lopez de Mantaras R, Poole D (eds.). UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence. San Mateo CA: Morgan Kaufmann. pp. 454–462. arXiv:1302.6835. Bibcode:2013arXiv1302.6835P. ISBN 1-55860-332-8.
Sahami, Mehran (1996-08-02). "Learning limited dependence Bayesian classifiers". Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. KDD'96. Portland, Oregon: AAAI Press: 335–338.

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Pearl J (1994). "A Probabilistic Calculus of Actions". In Lopez de Mantaras R, Poole D (eds.). UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence. San Mateo CA: Morgan Kaufmann. pp. 454–462. arXiv:1302.6835. Bibcode:2013arXiv1302.6835P. ISBN 1-55860-332-8.
Cussens J (2011). "Bayesian network learning with cutting planes" (PDF). Proceedings of the 27th Conference Annual Conference on Uncertainty in Artificial Intelligence: 153–160. arXiv:1202.3713. Bibcode:2012arXiv1202.3713C. Archived from the original on March 27, 2022.

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd place)

hal.archives-ouvertes.fr

Rubio, Arcadio; Gámez, José Antonio (2011-07-12). "Flexible learning of k-dependence Bayesian network classifiers". Proceedings of the 13th annual conference on Genetic and evolutionary computation. GECCO '11. New York, NY, USA: Association for Computing Machinery. pp. 1219–1226. doi:10.1145/2001576.2001741. ISBN 978-1-4503-0557-0.

arxiv.org (Global: 49^th place; English: 31^st place)

Pearl J (1994). "A Probabilistic Calculus of Actions". In Lopez de Mantaras R, Poole D (eds.). UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence. San Mateo CA: Morgan Kaufmann. pp. 454–462. arXiv:1302.6835. Bibcode:2013arXiv1302.6835P. ISBN 1-55860-332-8.
Shpitser I, Pearl J (2023). "Identification of Conditional Interventional Distributions". In Dechter R, Richardson TS (eds.). Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks. Vol. 14. Corvallis, OR: AUAI Press. pp. 437–444. arXiv:1206.6876. doi:10.2140/astat.2023.14.233. {{cite book}}: |journal= ignored (help)
Rebane G, Pearl J (1987). "The Recovery of Causal Poly-trees from Statistical Data". Proceedings, 3rd Workshop on Uncertainty in AI. Seattle, WA. pp. 222–228. arXiv:1304.2736.{{cite book}}: CS1 maint: location missing publisher (link)
Cussens J (2011). "Bayesian network learning with cutting planes" (PDF). Proceedings of the 27th Conference Annual Conference on Uncertainty in Artificial Intelligence: 153–160. arXiv:1202.3713. Bibcode:2012arXiv1202.3713C. Archived from the original on March 27, 2022.
Deligeorgaki, Danai; Markham, Alex; Misra, Pratik; Solus, Liam (2023). "Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks". Algebraic Statistics. 14 (2): 233–286. arXiv:2210.00822. doi:10.2140/astat.2023.14.233.
Hoffman, Matthew D.; Gelman, Andrew (2011). "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo". arXiv:1111.4246 [stat.CO].

berkeley.edu (Global: 621^st place; English: 429^th place)

aima.cs.berkeley.edu

Russell & Norvig 2003, p. 496. Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, ISBN 0-13-790395-2.
Russell & Norvig 2003, p. 499. Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, ISBN 0-13-790395-2.

icsi.berkeley.edu

Dagum P, Luby M (1997). "An optimal approximation algorithm for Bayesian inference". Artificial Intelligence. 93 (1–2): 1–27. CiteSeerX 10.1.1.36.7946. doi:10.1016/s0004-3702(97)00013-1. Archived from the original on 2017-07-06. Retrieved 2015-12-19. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

books.google.com (Global: 3^rd place; English: 3^rd place)

Pearl, Judea (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press. ISBN 978-0-521-77362-1. OCLC 42291253.
Spirtes P, Glymour CN, Scheines R (1993). Causation, Prediction, and Search (1st ed.). Springer-Verlag. ISBN 978-0-387-97979-3.
Verma T, Pearl J (1991). "Equivalence and synthesis of causal models". In Bonissone P, Henrion M, Kanal LN, Lemmer JF (eds.). UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence. Elsevier. pp. 255–270. ISBN 0-444-89264-8.
Neapolitan RE (2004). Learning Bayesian networks. Prentice Hall. ISBN 978-0-13-012534-7.
Pearl J (1988-09-15). Probabilistic Reasoning in Intelligent Systems. San Francisco CA: Morgan Kaufmann. p. 1988. ISBN 978-1-55860-479-7.
Neapolitan RE (1989). Probabilistic reasoning in expert systems: theory and algorithms. Wiley. ISBN 978-0-471-61840-9.

cmu.edu (Global: 2,125^th place; English: 1,347^th place)

repository.cmu.edu

Spirtes P, Glymour C (1991). "An algorithm for fast recovery of sparse causal graphs" (PDF). Social Science Computer Review. 9 (1): 62–72. CiteSeerX 10.1.1.650.2922. doi:10.1177/089443939100900106. S2CID 38398322. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

doi.org (Global: 2^nd place; English: 2^nd place)

Ruggeri, Fabrizio; Kenett, Ron S.; Faltin, Frederick W., eds. (2007-12-14). Encyclopedia of Statistics in Quality and Reliability (1 ed.). Wiley. p. 1. doi:10.1002/9780470061572.eqr089. ISBN 978-0-470-01861-3.
Shpitser I, Pearl J (2023). "Identification of Conditional Interventional Distributions". In Dechter R, Richardson TS (eds.). Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks. Vol. 14. Corvallis, OR: AUAI Press. pp. 437–444. arXiv:1206.6876. doi:10.2140/astat.2023.14.233. {{cite book}}: |journal= ignored (help)
Spirtes P, Glymour C (1991). "An algorithm for fast recovery of sparse causal graphs" (PDF). Social Science Computer Review. 9 (1): 62–72. CiteSeerX 10.1.1.650.2922. doi:10.1177/089443939100900106. S2CID 38398322. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Friedman N, Geiger D, Goldszmidt M (November 1997). "Bayesian Network Classifiers". Machine Learning. 29 (2–3): 131–163. doi:10.1023/A:1007465528199.
Friedman N, Linial M, Nachman I, Pe'er D (August 2000). "Using Bayesian networks to analyze expression data". Journal of Computational Biology. 7 (3–4): 601–20. CiteSeerX 10.1.1.191.139. doi:10.1089/106652700750050961. PMID 11108481. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Rubio, Arcadio; Gámez, José Antonio (2011-07-12). "Flexible learning of k-dependence Bayesian network classifiers". Proceedings of the 13th annual conference on Genetic and evolutionary computation. GECCO '11. New York, NY, USA: Association for Computing Machinery. pp. 1219–1226. doi:10.1145/2001576.2001741. ISBN 978-1-4503-0557-0.
Deligeorgaki, Danai; Markham, Alex; Misra, Pratik; Solus, Liam (2023). "Combinatorial and algebraic perspectives on the marginal independence structure of Bayesian networks". Algebraic Statistics. 14 (2): 233–286. arXiv:2210.00822. doi:10.2140/astat.2023.14.233.
Cooper GF (1990). "The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks" (PDF). Artificial Intelligence. 42 (2–3): 393–405. doi:10.1016/0004-3702(90)90060-d. S2CID 43363498.
Dagum P, Luby M (1993). "Approximating probabilistic inference in Bayesian belief networks is NP-hard". Artificial Intelligence. 60 (1): 141–153. CiteSeerX 10.1.1.333.1586. doi:10.1016/0004-3702(93)90036-b. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Dagum P, Luby M (1997). "An optimal approximation algorithm for Bayesian inference". Artificial Intelligence. 93 (1–2): 1–27. CiteSeerX 10.1.1.36.7946. doi:10.1016/s0004-3702(97)00013-1. Archived from the original on 2017-07-06. Retrieved 2015-12-19. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Bayes T, Price (1763). "An Essay Towards Solving a Problem in the Doctrine of Chances". Philosophical Transactions of the Royal Society. 53: 370–418. doi:10.1098/rstl.1763.0053.

duke.edu (Global: 1,851^st place; English: 1,041^st place)

stat.duke.edu

Cooper GF (1990). "The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks" (PDF). Artificial Intelligence. 42 (2–3): 393–405. doi:10.1016/0004-3702(90)90060-d. S2CID 43363498.

illinois.edu (Global: 1,178^th place; English: 745^th place)

cogcomp.cs.illinois.edu

D. Roth, On the hardness of approximate reasoning, IJCAI (1993)
D. Roth, On the hardness of approximate reasoning, Artificial Intelligence (1996)

jmlr.org (Global: low place; English: low place)

Chickering, David M.; Heckerman, David; Meek, Christopher (2004). "Large-sample learning of Bayesian networks is NP-hard" (PDF). Journal of Machine Learning Research. 5: 1287–1330.

nih.gov (Global: 5^th place; English: 5^th place)

pubmed.ncbi.nlm.nih.gov

Friedman N, Linial M, Nachman I, Pe'er D (August 2000). "Using Bayesian networks to analyze expression data". Journal of Computational Biology. 7 (3–4): 601–20. CiteSeerX 10.1.1.191.139. doi:10.1089/106652700750050961. PMID 11108481. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

nips.cc (Global: low place; English: low place)

papers.nips.cc

Scanagatta M, de Campos CP, Corani G, Zaffalon M (2015). "Learning Bayesian Networks with Thousands of Variables". NIPS-15: Advances in Neural Information Processing Systems. Vol. 28. Curran Associates. pp. 1855–1863.
M. Scanagatta, G. Corani, C. P. de Campos, and M. Zaffalon. Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. In NIPS-16: Advances in Neural Information Processing Systems 29, 2016.

psu.edu (Global: 299^th place; English: 159^th place)

citeseerx.ist.psu.edu

Spirtes P, Glymour C (1991). "An algorithm for fast recovery of sparse causal graphs" (PDF). Social Science Computer Review. 9 (1): 62–72. CiteSeerX 10.1.1.650.2922. doi:10.1177/089443939100900106. S2CID 38398322. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Friedman N, Linial M, Nachman I, Pe'er D (August 2000). "Using Bayesian networks to analyze expression data". Journal of Computational Biology. 7 (3–4): 601–20. CiteSeerX 10.1.1.191.139. doi:10.1089/106652700750050961. PMID 11108481. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Dagum P, Luby M (1993). "Approximating probabilistic inference in Bayesian belief networks is NP-hard". Artificial Intelligence. 60 (1): 141–153. CiteSeerX 10.1.1.333.1586. doi:10.1016/0004-3702(93)90036-b. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Dagum P, Luby M (1997). "An optimal approximation algorithm for Bayesian inference". Artificial Intelligence. 93 (1–2): 1–27. CiteSeerX 10.1.1.36.7946. doi:10.1016/s0004-3702(97)00013-1. Archived from the original on 2017-07-06. Retrieved 2015-12-19. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

semanticscholar.org (Global: 15^th place; English: 8^th place)

api.semanticscholar.org

Spirtes P, Glymour C (1991). "An algorithm for fast recovery of sparse causal graphs" (PDF). Social Science Computer Review. 9 (1): 62–72. CiteSeerX 10.1.1.650.2922. doi:10.1177/089443939100900106. S2CID 38398322. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
Cooper GF (1990). "The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks" (PDF). Artificial Intelligence. 42 (2–3): 393–405. doi:10.1016/0004-3702(90)90060-d. S2CID 43363498.

tiny-clues.eu (Global: low place; English: low place)

Petitjean F, Webb GI, Nicholson AE (2013). Scaling log-linear analysis to high-dimensional data (PDF). International Conference on Data Mining. Dallas, TX, USA: IEEE.

ucla.edu (Global: 885^th place; English: 584^th place)

bayes.cs.ucla.edu

"The Back-Door Criterion" (PDF). Retrieved 2014-09-18.
"d-Separation without Tears" (PDF). Retrieved 2014-09-18.

ftp.cs.ucla.edu

Pearl J (1985). Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning (UCLA Technical Report CSD-850017). Proceedings of the 7th Conference of the Cognitive Science Society, University of California, Irvine, CA. pp. 329–334. Retrieved 2009-05-01.

web.archive.org (Global: 1^st place; English: 1^st place)

Cussens J (2011). "Bayesian network learning with cutting planes" (PDF). Proceedings of the 27th Conference Annual Conference on Uncertainty in Artificial Intelligence: 153–160. arXiv:1202.3713. Bibcode:2012arXiv1202.3713C. Archived from the original on March 27, 2022.
Dagum P, Luby M (1997). "An optimal approximation algorithm for Bayesian inference". Artificial Intelligence. 93 (1–2): 1–27. CiteSeerX 10.1.1.36.7946. doi:10.1016/s0004-3702(97)00013-1. Archived from the original on 2017-07-06. Retrieved 2015-12-19. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

wiley.com (Global: 150^th place; English: 174^th place)

onlinelibrary.wiley.com

Ruggeri, Fabrizio; Kenett, Ron S.; Faltin, Frederick W., eds. (2007-12-14). Encyclopedia of Statistics in Quality and Reliability (1 ed.). Wiley. p. 1. doi:10.1002/9780470061572.eqr089. ISBN 978-0-470-01861-3.

worldcat.org (Global: 4^th place; English: 4^th place)

search.worldcat.org

Pearl, Judea (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press. ISBN 978-0-521-77362-1. OCLC 42291253.

Bayesian network (English Wikipedia)

acm.org (Global: 1,200th place; English: 821st place)

dl.acm.org

adsabs.harvard.edu (Global: 14th place; English: 9th place)

ui.adsabs.harvard.edu

archives-ouvertes.fr (Global: 1,143rd place; English: 973rd place)

hal.archives-ouvertes.fr

arxiv.org (Global: 49th place; English: 31st place)

berkeley.edu (Global: 621st place; English: 429th place)

aima.cs.berkeley.edu

icsi.berkeley.edu

books.google.com (Global: 3rd place; English: 3rd place)

cmu.edu (Global: 2,125th place; English: 1,347th place)

repository.cmu.edu

doi.org (Global: 2nd place; English: 2nd place)

duke.edu (Global: 1,851st place; English: 1,041st place)

stat.duke.edu

illinois.edu (Global: 1,178th place; English: 745th place)

cogcomp.cs.illinois.edu

jmlr.org (Global: low place; English: low place)

nih.gov (Global: 5th place; English: 5th place)

pubmed.ncbi.nlm.nih.gov

nips.cc (Global: low place; English: low place)

papers.nips.cc

psu.edu (Global: 299th place; English: 159th place)

citeseerx.ist.psu.edu

semanticscholar.org (Global: 15th place; English: 8th place)

api.semanticscholar.org

tiny-clues.eu (Global: low place; English: low place)

ucla.edu (Global: 885th place; English: 584th place)

bayes.cs.ucla.edu

ftp.cs.ucla.edu

web.archive.org (Global: 1st place; English: 1st place)

wiley.com (Global: 150th place; English: 174th place)

onlinelibrary.wiley.com

worldcat.org (Global: 4th place; English: 4th place)

search.worldcat.org

acm.org (Global: 1,200^th place; English: 821^st place)

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

archives-ouvertes.fr (Global: 1,143^rd place; English: 973^rd place)

arxiv.org (Global: 49^th place; English: 31^st place)

berkeley.edu (Global: 621^st place; English: 429^th place)

books.google.com (Global: 3^rd place; English: 3^rd place)

cmu.edu (Global: 2,125^th place; English: 1,347^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

duke.edu (Global: 1,851^st place; English: 1,041^st place)

illinois.edu (Global: 1,178^th place; English: 745^th place)

nih.gov (Global: 5^th place; English: 5^th place)

psu.edu (Global: 299^th place; English: 159^th place)

semanticscholar.org (Global: 15^th place; English: 8^th place)

ucla.edu (Global: 885^th place; English: 584^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

wiley.com (Global: 150^th place; English: 174^th place)

worldcat.org (Global: 4^th place; English: 4^th place)