{"id":"https://openalex.org/W2170918767","doi":"https://doi.org/10.1109/tsp.2008.2008258","title":"Recursive Bayesian Linear Regression for Adaptive Classification","display_name":"Recursive Bayesian Linear Regression for Adaptive Classification","publication_year":2008,"publication_date":"2008-11-06","ids":{"openalex":"https://openalex.org/W2170918767","doi":"https://doi.org/10.1109/tsp.2008.2008258","mag":"2170918767"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2008.2008258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2008.2008258","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","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/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"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":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028824941","display_name":"Jung-Chun Chen","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":"Jung-Chun Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":1.4023,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84728389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"57","issue":"2","first_page":"565","last_page":"575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9969000220298767,"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":0.9915000200271606,"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/hyperparameter","display_name":"Hyperparameter","score":0.6420362591743469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012440323829651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5871050953865051},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5867524743080139},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5401341915130615},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.512997567653656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45023852586746216},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4381096661090851},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.43291962146759033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35015660524368286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3239437937736511},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14575636386871338}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6420362591743469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012440323829651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871050953865051},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5867524743080139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5401341915130615},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.512997567653656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45023852586746216},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4381096661090851},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.43291962146759033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35015660524368286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3239437937736511},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14575636386871338}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2008.2008258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2008.2008258","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309029","display_name":"George Mason University","ror":"https://ror.org/02jqj7156"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1567323455","https://openalex.org/W1648445109","https://openalex.org/W1663973292","https://openalex.org/W1991713115","https://openalex.org/W1997011019","https://openalex.org/W2006258746","https://openalex.org/W2021409747","https://openalex.org/W2029279587","https://openalex.org/W2041462379","https://openalex.org/W2082988498","https://openalex.org/W2084812512","https://openalex.org/W2099526299","https://openalex.org/W2106885563","https://openalex.org/W2108807072","https://openalex.org/W2109064712","https://openalex.org/W2115694019","https://openalex.org/W2127469744","https://openalex.org/W2131620359","https://openalex.org/W2141211247","https://openalex.org/W2156909104","https://openalex.org/W2160246131","https://openalex.org/W2160337655","https://openalex.org/W2164617909","https://openalex.org/W2164923003","https://openalex.org/W2165058613","https://openalex.org/W2797328151","https://openalex.org/W2911546748","https://openalex.org/W3009784374","https://openalex.org/W3150056382","https://openalex.org/W4212863985","https://openalex.org/W4285719527","https://openalex.org/W6677380243","https://openalex.org/W6684271745","https://openalex.org/W7024225124"],"related_works":["https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869","https://openalex.org/W2186666570","https://openalex.org/W2122277321"],"abstract_inverted_index":{"This":[0,15],"paper":[1],"presents":[2],"a":[3,76,85],"new":[4,65,77],"recursive":[5,86,109],"Bayesian":[6,87,110],"linear":[7],"regression":[8],"(RBLR)":[9],"algorithm":[10,16,88,150],"for":[11],"adaptive":[12,106],"pattern":[13],"classification.":[14,107],"performs":[17],"machine":[18,140],"learning":[19,49,141],"in":[20,28,129,168,173],"nonstationary":[21,98],"environments.":[22],"A":[23],"classification":[24,177],"model":[25,29,33,55],"is":[26,57,89,164,179],"adopted":[27],"training.":[30],"The":[31,95,162],"initial":[32],"parameters":[34,56],"are":[35,68,72,112,127],"estimated":[36],"by":[37,60,182],"maximizing":[38],"the":[39,47,51,54,61,81,93,105,116,135,138,144,148,152],"likelihood":[40],"function":[41],"of":[42,53,97,118],"training":[43,124,170],"data.":[44],"To":[45],"activate":[46],"sequential":[48,174],"capability,":[50],"randomness":[52],"properly":[58],"expressed":[59],"normal-gamma":[62,78],"distribution.":[63,83],"When":[64],"adaptation":[66],"data":[67],"input,":[69],"sufficient":[70],"statistics":[71],"accumulated":[73],"to":[74,91,103,114,184],"obtain":[75],"distribution":[79],"as":[80],"posterior":[82],"Accordingly,":[84],"established":[90],"update":[92],"hyperparameters.":[94],"trajectory":[96],"environments":[99],"can":[100],"be":[101],"traced":[102],"perform":[104],"Such":[108],"models":[111],"used":[113],"satisfy":[115],"requirements":[117],"maximal":[119],"class":[120],"margin":[121],"and":[122,143,157],"minimal":[123],"error,":[125],"which":[126],"essential":[128],"support":[130],"vector":[131,159],"machines":[132,160],"(SVMs).":[133],"In":[134],"experiments":[136],"on":[137],"UCI":[139],"repository":[142],"FERET":[145],"facial":[146,186],"database,":[147],"proposed":[149],"outperforms":[151],"state-of-art":[153],"algorithms":[154],"including":[155],"SVMs":[156],"relevance":[158],"(RVMs).":[161],"improvement":[163],"not":[165],"only":[166],"obtained":[167],"batch":[169],"but":[171],"also":[172],"adaptation.":[175],"Face":[176],"performance":[178],"continuously":[180],"elevated":[181],"adapting":[183],"changing":[185],"conditions.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}