{"id":"https://openalex.org/W2912092043","doi":"https://doi.org/10.32614/rj-2018-073","title":"bnclassify: Learning Bayesian Network Classifiers","display_name":"bnclassify: Learning Bayesian Network Classifiers","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2912092043","doi":"https://doi.org/10.32614/rj-2018-073","mag":"2912092043"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2018-073","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-073","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-073/RJ-2018-073.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/archive/2018/RJ-2018-073/RJ-2018-073.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065703423","display_name":"Bojan Mihaljevi\u0107","orcid":"https://orcid.org/0000-0002-1656-6135"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Bojan Mihaljevic\u0301","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","Concha Bielza Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0001-7109-2668"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Concha Bielza Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0001-7109-2668","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010920098","display_name":"Concha Bielza","orcid":"https://orcid.org/0000-0001-7109-2668"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]},{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Concha Bielza","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Politcnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Politcnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","institution_ids":["https://openalex.org/I4210131846"]},{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049812833","display_name":"Pedro Larra\u00f1aga","orcid":"https://orcid.org/0000-0003-0652-9872"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Larra\u00f1aga","raw_affiliation_strings":["Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain","Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Computational Intelligence Group, Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid Boadilla del Monte, 28660, Spain ORCiD: 0000-0002-1656-6135","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5347,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91260342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"455","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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":0.9998000264167786,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.979200005531311,"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":0.9699000120162964,"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/discriminative-model","display_name":"Discriminative model","score":0.8220773935317993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6406230926513672},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6290985941886902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.624701201915741},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.613102376461029},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5106776356697083},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5105479955673218},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.44655105471611023},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.4290092885494232},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38242587447166443},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.26665204763412476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18555554747581482},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17166650295257568}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8220773935317993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406230926513672},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6290985941886902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.624701201915741},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.613102376461029},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5106776356697083},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5105479955673218},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.44655105471611023},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.4290092885494232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38242587447166443},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.26665204763412476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18555554747581482},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17166650295257568}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.32614/rj-2018-073","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-073","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-073/RJ-2018-073.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:hispana.mcu.es:35438856","is_oa":false,"landing_page_url":"https://oa.upm.es/54545/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"R JOURNAL, ISSN 2073-4859, 2018, Vol. 10, No. 2","raw_type":"PeerReviewed"},{"id":"pmh:oai:digitalcommons.unl.edu:r-journal-1712","is_oa":false,"landing_page_url":"https://digitalcommons.unl.edu/r-journal/719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The R Journal","raw_type":"text"},{"id":"pmh:oai:dnet:archivodigit::40ec25bddc6ef2ae34c0c790470480b9","is_oa":true,"landing_page_url":"http://oa.upm.es/54545/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"R JOURNAL, ISSN 2073-4859, 2018, Vol. 10, No. 2","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.32614/rj-2018-073","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2018-073","pdf_url":"https://journal.r-project.org/archive/2018/RJ-2018-073/RJ-2018-073.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1936523210","display_name":null,"funder_award_id":"S2013","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G2222999142","display_name":null,"funder_award_id":"TIN2016-79684-P","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G2228619995","display_name":null,"funder_award_id":"C080020-09","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G3590194597","display_name":null,"funder_award_id":"TIN2016-79684","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G5766349579","display_name":"Human Brain Project Specific Grant Agreement 2","funder_award_id":"785907","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8681506169","display_name":null,"funder_award_id":"HBP SGA2","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309764","display_name":"Fundaci\u00f3n BBVA","ror":"https://ror.org/01jzs3b90"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320915","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320323113","display_name":"Banco Bilbao Vizcaya Argentaria","ror":"https://ror.org/0537dnd74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912092043.pdf","grobid_xml":"https://content.openalex.org/works/W2912092043.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W149574399","https://openalex.org/W157873616","https://openalex.org/W168332103","https://openalex.org/W205043379","https://openalex.org/W1511986666","https://openalex.org/W1530398305","https://openalex.org/W1550825417","https://openalex.org/W1576271900","https://openalex.org/W1594885191","https://openalex.org/W1980452149","https://openalex.org/W1983690667","https://openalex.org/W1994234501","https://openalex.org/W2011107254","https://openalex.org/W2012016455","https://openalex.org/W2019439081","https://openalex.org/W2024060531","https://openalex.org/W2032026767","https://openalex.org/W2038374320","https://openalex.org/W2045031658","https://openalex.org/W2091299760","https://openalex.org/W2099900459","https://openalex.org/W2108626773","https://openalex.org/W2111574971","https://openalex.org/W2116064335","https://openalex.org/W2126061911","https://openalex.org/W2129564794","https://openalex.org/W2134283720","https://openalex.org/W2137587467","https://openalex.org/W2142635246","https://openalex.org/W2144907232","https://openalex.org/W2161642932","https://openalex.org/W2163166770","https://openalex.org/W2168175751","https://openalex.org/W2494582625","https://openalex.org/W2581879608","https://openalex.org/W2808112299","https://openalex.org/W2949717426","https://openalex.org/W2987883775","https://openalex.org/W2998216295","https://openalex.org/W3120740533","https://openalex.org/W4236354166","https://openalex.org/W4250143236","https://openalex.org/W4293872269","https://openalex.org/W4379510236","https://openalex.org/W4392147004","https://openalex.org/W4399271987","https://openalex.org/W4399579595","https://openalex.org/W4399587380","https://openalex.org/W4399640698","https://openalex.org/W6656506093","https://openalex.org/W6906661530","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2383034311","https://openalex.org/W2592745513","https://openalex.org/W643788828","https://openalex.org/W2391701421","https://openalex.org/W201565394","https://openalex.org/W4309448762","https://openalex.org/W2353852789","https://openalex.org/W2985695769","https://openalex.org/W1700460858","https://openalex.org/W4211221765"],"abstract_inverted_index":{"The":[0,59,74],"bnclassify":[1,75],"package":[2,76],"provides":[3,18,37,77],"state-of-the":[4],"art":[5],"algorithms":[6],"for":[7,66,79],"learning":[8,16],"Bayesian":[9,38,56],"network":[10,97],"classifiers":[11],"from":[12],"data.":[13],"For":[14],"structure":[15],"it":[17],"variants":[19],"of":[20,28,92,117,130],"the":[21,29,93,100,122],"greedy":[22],"hill-climbing":[23],"search,":[24],"a":[25,114,128],"well-known":[26],"adaptation":[27],"Chow-Liu":[30],"algorithm":[31],"and":[32,39,55,86,90,133],"averaged":[33],"one-dependence":[34],"estimators.":[35],"It":[36,103],"maximum":[40],"likelihood":[41],"parameter":[42],"estimation,":[43],"as":[44,46,83],"well":[45],"three":[47],"naive-Bayesspecific":[48],"methods":[49],"based":[50],"on":[51,70,135],"discriminative":[52,68],"score":[53],"optimization":[54],"model":[57,80],"averaging.":[58],"implementation":[60],"is":[61,104],"efficient":[62],"enough":[63],"to":[64],"allow":[65],"time-consuming":[67],"scores":[69],"mediumsized":[71],"data":[72,131],"sets.":[73],"utilities":[78],"evaluation,":[81],"such":[82],"cross-validated":[84],"accuracy":[85],"penalized":[87],"log-likelihood":[88],"scores,":[89],"analysis":[91],"underlying":[94],"networks,":[95],"including":[96],"plotting":[98],"via":[99],"Rgraphviz":[101],"package.":[102],"extensively":[105],"tested,":[106],"with":[107,127],"over":[108],"200":[109],"automated":[110],"tests":[111],"that":[112],"give":[113],"code":[115],"coverage":[116],"94%.":[118],"Here":[119],"we":[120],"present":[121],"main":[123],"functionalities,":[124],"illustrate":[125],"them":[126],"number":[129],"sets,":[132],"comment":[134],"related":[136],"software.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}