{"id":"https://openalex.org/W2099319104","doi":"https://doi.org/10.1162/08997660360675107","title":"An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine","display_name":"An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine","publication_year":2003,"publication_date":"2003-07-16","ids":{"openalex":"https://openalex.org/W2099319104","doi":"https://doi.org/10.1162/08997660360675107","mag":"2099319104"},"language":"en","primary_location":{"id":"doi:10.1162/08997660360675107","is_oa":false,"landing_page_url":"https://doi.org/10.1162/08997660360675107","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","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/A5085287370","display_name":"Faming Liang","orcid":"https://orcid.org/0000-0002-1177-5501"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Faming Liang","raw_affiliation_strings":["Department of Statistics, Texas A & M University, College Station, TX 77843, U.S.A.,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Texas A & M University, College Station, TX 77843, U.S.A.,","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085287370"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.6381,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.85937974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"1959","last_page":"1989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9952999949455261,"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":0.994700014591217,"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/margin-classifier","display_name":"Margin classifier","score":0.7753485441207886},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7084978818893433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.695960521697998},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.6913579702377319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6602350473403931},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6463008522987366},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6113937497138977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5524060130119324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.530881404876709},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4620828628540039},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4325546622276306},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41095665097236633}],"concepts":[{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.7753485441207886},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7084978818893433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695960521697998},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.6913579702377319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602350473403931},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6463008522987366},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6113937497138977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5524060130119324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.530881404876709},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4620828628540039},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4325546622276306},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41095665097236633}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1162/08997660360675107","is_oa":false,"landing_page_url":"https://doi.org/10.1162/08997660360675107","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W34176136","https://openalex.org/W324611197","https://openalex.org/W1506281249","https://openalex.org/W1533840382","https://openalex.org/W1565709818","https://openalex.org/W1567323455","https://openalex.org/W1567512734","https://openalex.org/W1622484071","https://openalex.org/W1985093013","https://openalex.org/W1989447327","https://openalex.org/W1995930498","https://openalex.org/W2002664623","https://openalex.org/W2007836898","https://openalex.org/W2014158063","https://openalex.org/W2015437745","https://openalex.org/W2017899835","https://openalex.org/W2023672325","https://openalex.org/W2036350498","https://openalex.org/W2040183015","https://openalex.org/W2043432627","https://openalex.org/W2051381803","https://openalex.org/W2053427692","https://openalex.org/W2056760934","https://openalex.org/W2057331441","https://openalex.org/W2075194837","https://openalex.org/W2077658674","https://openalex.org/W2084341220","https://openalex.org/W2087347434","https://openalex.org/W2102794349","https://openalex.org/W2106706098","https://openalex.org/W2109109045","https://openalex.org/W2111051539","https://openalex.org/W2119821739","https://openalex.org/W2128073546","https://openalex.org/W2138309709","https://openalex.org/W2150988027","https://openalex.org/W2157239837","https://openalex.org/W2160455305","https://openalex.org/W2167656653","https://openalex.org/W2282078507","https://openalex.org/W2334214145","https://openalex.org/W2526577390","https://openalex.org/W2766736793","https://openalex.org/W2798766386","https://openalex.org/W3101006260","https://openalex.org/W3165241807","https://openalex.org/W4229849994","https://openalex.org/W4239510810","https://openalex.org/W4246833555","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1483596504","https://openalex.org/W2010370304","https://openalex.org/W2162083125","https://openalex.org/W2009506202","https://openalex.org/W47559851","https://openalex.org/W2297694731","https://openalex.org/W2071988253","https://openalex.org/W204488290","https://openalex.org/W2096969571","https://openalex.org/W2040550925"],"abstract_inverted_index":{"We":[0,45],"propose":[1,47],"a":[2,48],"new":[3,37,53,96],"Bayesian":[4,103,126],"neural":[5,104,127],"network":[6,23,85,105,128],"classifier,":[7],"different":[8],"from":[9,78],"that":[10,30,94],"commonly":[11,101,124],"used":[12,102,125],"in":[13,112],"several":[14],"respects,":[15],"including":[16],"the":[17,31,36,42,52,58,63,69,79,84,95,100,108,120,123,131],"likelihood":[18],"function,":[19],"prior":[20],"specification,":[21],"and":[22,68,87,107,130],"structure.":[24],"Under":[25],"regularity":[26],"conditions,":[27],"we":[28],"show":[29,93],"decision":[32],"boundary":[33],"determined":[34],"by":[35,76],"classifier":[38,97,106,129],"will":[39],"converge":[40],"to":[41],"true":[43],"one.":[44],"also":[46],"systematic":[49],"implementation":[50],"for":[51,119],"classifier.":[54],"In":[55],"our":[56],"implementation,":[57],"tune":[59],"of":[60,65,71,83,114,122],"connection":[61,88],"weights,":[62],"selection":[64,70],"hidden":[66],"units,":[67],"input":[72],"variables":[73],"are":[74],"unified":[75],"sampling":[77],"joint":[80],"posterior":[81],"distribution":[82],"structure":[86],"weights.":[89],"The":[90,117],"numerical":[91],"results":[92],"consistently":[98],"outperforms":[99],"support":[109,132],"vector":[110,133],"machine":[111,134],"terms":[113],"generalization":[115],"performance.":[116],"reason":[118],"inferiority":[121],"is":[135],"discussed":[136],"at":[137],"length.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}