{"id":"https://openalex.org/W2141640716","doi":"https://doi.org/10.1109/fuzzy.2011.6007570","title":"Applying MDL in PSO for learning Bayesian networks","display_name":"Applying MDL in PSO for learning Bayesian networks","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2141640716","doi":"https://doi.org/10.1109/fuzzy.2011.6007570","mag":"2141640716"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-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/A5053201493","display_name":"Shu-Ching Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I144999699","display_name":"Taiwan Shoufu University","ror":"https://ror.org/055zdhj54","country_code":"TW","type":"education","lineage":["https://openalex.org/I144999699"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shu-Ching Kuo","raw_affiliation_strings":["Department of Leisure and Information Management, Taiwan Shoufu University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Leisure and Information Management, Taiwan Shoufu University, Tainan, Taiwan","institution_ids":["https://openalex.org/I144999699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022721834","display_name":"Hung\u2010Jen Wang","orcid":"https://orcid.org/0000-0002-2259-9427"},"institutions":[{"id":"https://openalex.org/I144999699","display_name":"Taiwan Shoufu University","ror":"https://ror.org/055zdhj54","country_code":"TW","type":"education","lineage":["https://openalex.org/I144999699"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Jen Wang","raw_affiliation_strings":["Department of Computer Science and Multimedia Design, Taiwan Shoufu University, Tainan, Taiwan","Dept. of Comput. Sci. & Multimedia Design, Taiwan Shoufu Univ., Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Multimedia Design, Taiwan Shoufu University, Tainan, Taiwan","institution_ids":["https://openalex.org/I144999699"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Multimedia Design, Taiwan Shoufu Univ., Tainan, Taiwan","institution_ids":["https://openalex.org/I144999699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002230253","display_name":"Hsiao-Yi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Yi Wei","raw_affiliation_strings":["Institute of Information Management, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752859","display_name":"Chih\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-8938-3209"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]},{"id":"https://openalex.org/I144999699","display_name":"Taiwan Shoufu University","ror":"https://ror.org/055zdhj54","country_code":"TW","type":"education","lineage":["https://openalex.org/I144999699"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chuan Chen","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","Department of Leisure and Information Management, Taiwan Shoufu University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Leisure and Information Management, Taiwan Shoufu University, Tainan, Taiwan","institution_ids":["https://openalex.org/I144999699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072438389","display_name":"Sheng-Tun Li","orcid":"https://orcid.org/0000-0003-1210-3157"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Tun Li","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","Institute of Information Management, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Institute of Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053201493"],"corresponding_institution_ids":["https://openalex.org/I144999699"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13235063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1587","last_page":"1592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9991999864578247,"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":0.9991999864578247,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9641000032424927,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9269000291824341,"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/minimum-description-length","display_name":"Minimum description length","score":0.840032160282135},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6787953972816467},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5828191637992859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5750097036361694},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.553378701210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498238205909729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.526100754737854}],"concepts":[{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.840032160282135},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6787953972816467},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5828191637992859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5750097036361694},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.553378701210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498238205909729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.526100754737854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007570","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W104215361","https://openalex.org/W1528796620","https://openalex.org/W1570448133","https://openalex.org/W1585280831","https://openalex.org/W1604099128","https://openalex.org/W1875348914","https://openalex.org/W1980452149","https://openalex.org/W1983347928","https://openalex.org/W1988814833","https://openalex.org/W2003085167","https://openalex.org/W2054658115","https://openalex.org/W2096242147","https://openalex.org/W2126653228","https://openalex.org/W2129046665","https://openalex.org/W2129178015","https://openalex.org/W2130184393","https://openalex.org/W2152195021","https://openalex.org/W2159080219","https://openalex.org/W2327714094","https://openalex.org/W2402846924","https://openalex.org/W2543580944","https://openalex.org/W6604188284","https://openalex.org/W6678836444"],"related_works":["https://openalex.org/W4298831272","https://openalex.org/W2489956408","https://openalex.org/W349256592","https://openalex.org/W2086694237","https://openalex.org/W4213307346","https://openalex.org/W2037989911","https://openalex.org/W2068210614","https://openalex.org/W2130372067","https://openalex.org/W32469337","https://openalex.org/W2376186798"],"abstract_inverted_index":{"Since":[0],"learning":[1,38,85],"Bayesian":[2,29,87,95],"networks":[3,96],"from":[4,101],"data":[5,109],"is":[6,11,32,56,79,111],"difficult,":[7],"a":[8,27,131],"new":[9],"approach":[10,129],"proposed.":[12],"The":[13],"particle":[14],"swarm":[15],"optimization":[16],"(PSO)":[17],"and":[18,54,117],"minimum":[19],"description":[20],"length":[21],"(MDL)":[22],"are":[23,97],"combined":[24],"to":[25,40,66,81],"obtain":[26],"suitable":[28],"network.":[30,46,122],"MDL":[31,75],"the":[33,42,45,50,60,74,77,83,94,105,107,115,120,127,135],"fitness":[34],"function":[35],"in":[36,69,86],"this":[37],"algorithm":[39],"evaluate":[41],"goodness":[43],"of":[44,119],"By":[47],"adopting":[48],"MDL,":[49],"balance":[51],"between":[52],"simplicity":[53],"accuracy":[55,133],"assured,":[57],"which":[58],"enables":[59],"optimal":[61],"solution":[62],"for":[63,113],"complex":[64],"models":[65],"be":[67],"found":[68],"reasonable":[70],"time.":[71],"Base":[72],"on":[73],"principle,":[76],"PSO":[78],"used":[80,112],"enhance":[82],"structure":[84],"networks.":[88],"Moreover,":[89],"conditional":[90],"probabilities":[91],"associated":[92],"with":[93],"then":[98],"statistically":[99],"derived":[100],"these":[102],"data.":[103],"In":[104],"end,":[106],"Stroke":[108],"set":[110],"testing":[114],"efficiency":[116],"effectiveness":[118],"stable":[121],"Experimental":[123],"results":[124],"show":[125],"that":[126],"proposed":[128],"has":[130],"good":[132],"than":[134],"comparative":[136],"methods.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}