{"id":"https://openalex.org/W1997627463","doi":"https://doi.org/10.1142/s0218488509005863","title":"LEARNING BAYESIAN NETWORK PARAMETERS FROM SOFT DATA","display_name":"LEARNING BAYESIAN NETWORK PARAMETERS FROM SOFT DATA","publication_year":2009,"publication_date":"2009-03-27","ids":{"openalex":"https://openalex.org/W1997627463","doi":"https://doi.org/10.1142/s0218488509005863","mag":"1997627463"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488509005863","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488509005863","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","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/A5101771769","display_name":"Xu Xiao","orcid":"https://orcid.org/0000-0002-1036-0208"},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"XU HONG XIAO","raw_affiliation_strings":["DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081015256","display_name":"Hian Beng Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"HIAN BENG LEE","raw_affiliation_strings":["DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111876288","display_name":"Gee Wah Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"GEE WAH NG","raw_affiliation_strings":["DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, 20 Sicence Park Drive, Singapore 118230, Singapore","institution_ids":["https://openalex.org/I28490864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28490864"],"apc_list":null,"apc_paid":null,"fwci":0.4441,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71910359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"02","first_page":"281","last_page":"294"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/bayesian-network","display_name":"Bayesian network","score":0.7646670341491699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902471780776978},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6322320103645325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.624174952507019},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5154617428779602},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49386316537857056},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4805915057659149},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45322948694229126},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.43730059266090393},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.42897167801856995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3514458239078522},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.28886401653289795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18069243431091309},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1160898208618164}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7646670341491699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902471780776978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6322320103645325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.624174952507019},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5154617428779602},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49386316537857056},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4805915057659149},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45322948694229126},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.43730059266090393},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.42897167801856995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3514458239078522},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.28886401653289795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18069243431091309},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1160898208618164},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488509005863","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488509005863","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1517993545","https://openalex.org/W1566045017","https://openalex.org/W1573742539","https://openalex.org/W1593793857","https://openalex.org/W1965144984","https://openalex.org/W1974212563","https://openalex.org/W1978304080","https://openalex.org/W1982601383","https://openalex.org/W2008906462","https://openalex.org/W2049633694","https://openalex.org/W2073268792","https://openalex.org/W2078712199","https://openalex.org/W2101563095","https://openalex.org/W2117853077","https://openalex.org/W2123306636","https://openalex.org/W2132434674","https://openalex.org/W2145990817","https://openalex.org/W2159080219","https://openalex.org/W2171228945","https://openalex.org/W2176450933","https://openalex.org/W4254018622"],"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":{"Bayesian":[0,69],"networks":[1,70],"have":[2],"been":[3],"known":[4],"as":[5],"a":[6,12],"powerful":[7],"knowledge":[8],"representation":[9],"model":[10],"and":[11,96],"computational":[13],"architecture":[14],"for":[15,28,65],"reasoning":[16],"under":[17],"uncertainty.":[18],"However,":[19],"there":[20],"are":[21,33],"still":[22],"some":[23],"obstacles":[24],"in":[25,45],"applying":[26],"them":[27,32],"practical":[29],"applications.":[30],"Among":[31],"learning":[34,66],"parameters,":[35],"or":[36,81,86],"the":[37,46,74,92,100],"conditional":[38],"probability":[39],"tables":[40],"from":[41,71],"data.":[42],"Much":[43],"work":[44],"field":[47],"focuses":[48],"on":[49],"handling":[50],"incomplete":[51],"data,":[52,73],"i.e.":[53],"data":[54],"with":[55],"missing":[56],"values.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"an":[63],"approach":[64,93],"parameters":[67],"of":[68,76,91,102],"soft":[72],"values":[75],"which":[77],"may":[78],"be":[79],"imprecise":[80],"uncertain,":[82],"given":[83],"by":[84],"beliefs":[85],"confidence":[87],"scales.":[88],"Theoretical":[89],"justification":[90],"is":[94],"given,":[95],"experimental":[97],"results":[98],"demonstrated":[99],"effectiveness":[101],"our":[103],"approach.":[104]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
