{"id":"https://openalex.org/W2397866408","doi":"https://doi.org/10.1007/978-94-011-5014-9_11","title":"A Tutorial on Learning with Bayesian Networks","display_name":"A Tutorial on Learning with Bayesian Networks","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2397866408","doi":"https://doi.org/10.1007/978-94-011-5014-9_11","mag":"2397866408"},"language":"en","primary_location":{"id":"doi:10.1007/978-94-011-5014-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-94-011-5014-9_11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Learning in Graphical Models","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.00269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016386034","display_name":"David Heckerman","orcid":"https://orcid.org/0000-0002-4274-6084"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Heckerman","raw_affiliation_strings":["Microsoft Research, Bldg 9S, Redmond, WA, 98052-6399, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Bldg 9S, Redmond, WA, 98052-6399, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016386034"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":688,"citation_normalized_percentile":{"value":0.2578897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9232000112533569,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9108999967575073,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.7768668532371521},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7756768465042114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7099404335021973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065539956092834},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6845820546150208},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.6837544441223145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6707439422607422},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5038928389549255},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4988076686859131},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.48068317770957947},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4566170573234558},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.44805219769477844},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3233932852745056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2657868564128876}],"concepts":[{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.7768668532371521},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7756768465042114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099404335021973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065539956092834},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6845820546150208},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.6837544441223145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6707439422607422},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5038928389549255},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4988076686859131},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.48068317770957947},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4566170573234558},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.44805219769477844},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3233932852745056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2657868564128876}],"mesh":[],"locations_count":14,"locations":[{"id":"doi:10.1007/978-94-011-5014-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-94-011-5014-9_11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Learning in Graphical Models","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2002.00269","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.00269","pdf_url":"https://arxiv.org/pdf/2002.00269","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"text"},{"id":"mag:3004036899","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2002.00269","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.112.8434","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.8434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~mkearns/papers/barbados/heckerman.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.12.1761","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.1761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/people/jimmylin/papers/Heckerman95.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.15.4522","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.4522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://psrg.lcs.mit.edu/6892/handouts/tutbayesheckerman.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.28.3014","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.3014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gmd.de/People/Herbert.Jaeger/VL/TutorialHeckerman.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.33.2565","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.unr.edu/~bebis/CS791Sb/./Handouts/bayesian_nets.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.7694","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.7694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.wisc.edu/~cs731-1/./learn.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.37.3847","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.3847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informatik.uni-bonn.de/III/lehre/AG/Mustererkennung/postscript/TR-95-06.PS.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.390.6143","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.390.6143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://damas.ift.ulaval.ca/_seminar/filesH12/fulltext.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.56.1431","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isip.msstate.edu/resources/speech/literature/misc_algorithms/dheckerman_bayes_tutorial.ps.gz","raw_type":"text"},{"id":"doi:10.48550/arxiv.2002.00269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.00269","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2397866408","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/series/sci/sci156.html#Heckerman08","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.00269","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.00269","pdf_url":"https://arxiv.org/pdf/2002.00269","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W13176313","https://openalex.org/W14420165","https://openalex.org/W19621276","https://openalex.org/W112199310","https://openalex.org/W140918242","https://openalex.org/W187628563","https://openalex.org/W195465510","https://openalex.org/W1480413091","https://openalex.org/W1505477995","https://openalex.org/W1517993545","https://openalex.org/W1520448186","https://openalex.org/W1524326598","https://openalex.org/W1524704912","https://openalex.org/W1528377419","https://openalex.org/W1537443165","https://openalex.org/W1547246444","https://openalex.org/W1551095176","https://openalex.org/W1587150650","https://openalex.org/W1590398161","https://openalex.org/W1592590442","https://openalex.org/W1593793857","https://openalex.org/W1601455886","https://openalex.org/W1606221018","https://openalex.org/W1754776789","https://openalex.org/W1848663035","https://openalex.org/W1887916728","https://openalex.org/W1980452149","https://openalex.org/W1984567898","https://openalex.org/W1989926363","https://openalex.org/W1997338824","https://openalex.org/W1998487261","https://openalex.org/W1999432334","https://openalex.org/W2004101233","https://openalex.org/W2009833344","https://openalex.org/W2015749074","https://openalex.org/W2020999234","https://openalex.org/W2025130480","https://openalex.org/W2027255954","https://openalex.org/W2029232921","https://openalex.org/W2040071940","https://openalex.org/W2046584898","https://openalex.org/W2049633694","https://openalex.org/W2049910836","https://openalex.org/W2056238868","https://openalex.org/W2060442802","https://openalex.org/W2063760437","https://openalex.org/W2064790857","https://openalex.org/W2069469807","https://openalex.org/W2082299845","https://openalex.org/W2083366515","https://openalex.org/W2092915639","https://openalex.org/W2109055008","https://openalex.org/W2111051539","https://openalex.org/W2111051773","https://openalex.org/W2114307208","https://openalex.org/W2119135250","https://openalex.org/W2126151607","https://openalex.org/W2143075689","https://openalex.org/W2147409005","https://openalex.org/W2148018895","https://openalex.org/W2168175751","https://openalex.org/W2330192890","https://openalex.org/W2796293253","https://openalex.org/W2949106878","https://openalex.org/W3174988039","https://openalex.org/W4211177544","https://openalex.org/W4232632925","https://openalex.org/W4233014035","https://openalex.org/W4236354166","https://openalex.org/W4239726656","https://openalex.org/W4240190281","https://openalex.org/W4254547433","https://openalex.org/W4292157289","https://openalex.org/W4388289857","https://openalex.org/W6600264026","https://openalex.org/W6604569386","https://openalex.org/W6605247177","https://openalex.org/W6609765903","https://openalex.org/W6634071051","https://openalex.org/W6635196568","https://openalex.org/W6636824657","https://openalex.org/W6641529508","https://openalex.org/W6672992069","https://openalex.org/W6679417241","https://openalex.org/W6758622208","https://openalex.org/W6758751890","https://openalex.org/W6790903045","https://openalex.org/W6829589679","https://openalex.org/W7000852851","https://openalex.org/W7047381192","https://openalex.org/W7058020702","https://openalex.org/W7075734591"],"related_works":["https://openalex.org/W2611370172","https://openalex.org/W2170112109","https://openalex.org/W2168175751","https://openalex.org/W2159080219","https://openalex.org/W2110575115","https://openalex.org/W2049633694","https://openalex.org/W2008906462","https://openalex.org/W1817561967","https://openalex.org/W1755360231","https://openalex.org/W1746680969","https://openalex.org/W1593793857","https://openalex.org/W1524326598","https://openalex.org/W2101736851","https://openalex.org/W2080828514","https://openalex.org/W1530964327","https://openalex.org/W3133236490","https://openalex.org/W1983690667","https://openalex.org/W1511986666","https://openalex.org/W1513861746","https://openalex.org/W2165190832"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":44},{"year":2014,"cited_by_count":42},{"year":2013,"cited_by_count":46},{"year":2012,"cited_by_count":51}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
