{"id":"https://openalex.org/W2058013958","doi":"https://doi.org/10.1145/1389095.1389171","title":"Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions","display_name":"Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2058013958","doi":"https://doi.org/10.1145/1389095.1389171","mag":"2058013958"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047912788","display_name":"Jos\u00e9 A. G\u00e1mez","orcid":"https://orcid.org/0000-0003-1188-1117"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. G\u00e1mez","raw_affiliation_strings":["University of Castilla-La Mancha, Albacete, Spain","University of Castilla-La Mancha , Albacete , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Castilla-La Mancha, Albacete, Spain","institution_ids":["https://openalex.org/I79189158"]},{"raw_affiliation_string":"University of Castilla-La Mancha , Albacete , Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046423294","display_name":"Juan L. Mateo","orcid":"https://orcid.org/0000-0001-9902-6048"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan L. Mateo","raw_affiliation_strings":["University of Castilla-La Mancha, Albacete, Spain","University of Castilla-La Mancha , Albacete , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Castilla-La Mancha, Albacete, Spain","institution_ids":["https://openalex.org/I79189158"]},{"raw_affiliation_string":"University of Castilla-La Mancha , Albacete , Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077991955","display_name":"Jos\u00e9 M. Puerta","orcid":"https://orcid.org/0000-0002-9164-5191"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"education","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 M. Puerta","raw_affiliation_strings":["University of Castilla-La Mancha, Albacete, Spain","University of Castilla-La Mancha , Albacete , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Castilla-La Mancha, Albacete, Spain","institution_ids":["https://openalex.org/I79189158"]},{"raw_affiliation_string":"University of Castilla-La Mancha , Albacete , Spain","institution_ids":["https://openalex.org/I79189158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79189158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"407","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"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":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9793000221252441,"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":0.9643999934196472,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7218400835990906},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6963135600090027},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6919939517974854},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6486028432846069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009005308151245},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.5698278546333313},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5496476888656616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489110350608826},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5163310766220093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5068410038948059},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.45665231347084045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45373740792274475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41989046335220337}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7218400835990906},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6963135600090027},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6919939517974854},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6486028432846069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009005308151245},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.5698278546333313},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5496476888656616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489110350608826},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5163310766220093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5068410038948059},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.45665231347084045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45373740792274475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41989046335220337},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1389095.1389171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.857.6678","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.857.6678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/%7Ewbl/biblio/gecco2008/docs/p407.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1291450","https://openalex.org/W129206477","https://openalex.org/W180797010","https://openalex.org/W1497256448","https://openalex.org/W1517993545","https://openalex.org/W1544564822","https://openalex.org/W1560047216","https://openalex.org/W1571067406","https://openalex.org/W1597878669","https://openalex.org/W1601564256","https://openalex.org/W1692958259","https://openalex.org/W1698663318","https://openalex.org/W1829558465","https://openalex.org/W1860991815","https://openalex.org/W1915907828","https://openalex.org/W1997063559","https://openalex.org/W2020999234","https://openalex.org/W2072063551","https://openalex.org/W2084961468","https://openalex.org/W2097470060","https://openalex.org/W2101705355","https://openalex.org/W2139015486","https://openalex.org/W2143075689","https://openalex.org/W2159080219","https://openalex.org/W2166603077","https://openalex.org/W2168175751","https://openalex.org/W2894257070","https://openalex.org/W3004042307","https://openalex.org/W4212774754","https://openalex.org/W4285719527","https://openalex.org/W6629610141","https://openalex.org/W6637293442","https://openalex.org/W6675204935"],"related_works":["https://openalex.org/W4394590985","https://openalex.org/W2348840575","https://openalex.org/W2030498341","https://openalex.org/W3122841410","https://openalex.org/W2046205453","https://openalex.org/W2770017172","https://openalex.org/W89977309","https://openalex.org/W2183901182","https://openalex.org/W2030930882","https://openalex.org/W4300013323"],"abstract_inverted_index":{"One":[0],"of":[1,7,14,44,52,114,179],"the":[2,12,15,22,24,26,28,31,42,50,62,94,97,120,131,134,141,157,164,177,184],"key":[3],"points":[4],"in":[5,55,69,116,183],"Estimation":[6],"Distribution":[8],"Algorithms":[9],"(EDAs)":[10],"is":[11,75,124,160],"learning":[13,32,81,122,136],"probabilistic":[16],"graphical":[17],"model":[18,27],"used":[19,76],"to":[20,126,171],"guide":[21],"search:":[23],"richer":[25],"more":[29,161,185],"complex":[30,186],"task.":[33,137],"Dependency":[34],"networks-based":[35],"EDAs":[36],"have":[37],"been":[38],"recently":[39],"introduced.":[40],"On":[41],"contrary":[43],"Bayesian":[45,148],"networks,":[46],"dependency":[47,73],"networks":[48,149],"allow":[49],"presence":[51],"directed":[53],"cycles":[54],"their":[56],"structure.":[57],"In":[58,106],"a":[59,71,111],"previous":[60],"work":[61,108],"authors":[63],"proposed":[64],"EDNA,":[65],"an":[66],"EDA":[67],"algorithm":[68],"which":[70,117],"multivariate":[72,144],"network":[74],"but":[77,129,175],"approximating":[78],"its":[79,168],"structure":[80],"by":[82],"considering":[83],"only":[84,119],"bivariate":[85,104,127],"statistics.":[86],"EDNA":[87,115,159],"was":[88],"compared":[89],"with":[90,96,176],"other":[91],"models":[92,145],"from":[93],"literature":[95],"same":[98],"computational":[99],"complexity":[100],"(e.g.,":[101],"univariate":[102],"and":[103,133,151,173],"models).":[105],"this":[107],"we":[109,139],"propose":[110],"modified":[112,158],"version":[113],"not":[118],"structural":[121],"phase":[123],"limited":[125],"statistics,":[128],"also":[130],"simulation":[132],"parameter":[135],"Now,":[138],"extend":[140],"comparison":[142],"employing":[143],"based":[146],"on":[147],"(EBNA":[150],"hBOA).":[152],"Our":[153],"experiments":[154],"show":[155],"that":[156],"accurate":[162],"than":[163],"original":[165],"one,":[166],"being":[167,180],"accuracy":[169],"comparable":[170],"EBNA":[172],"hBOA,":[174],"advantage":[178],"faster":[181],"specially":[182],"cases.":[187]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}