{"id":"https://openalex.org/W2104680668","doi":"https://doi.org/10.1162/neco.2008.06-07-549","title":"Boosting Method for Local Learning in Statistical Pattern Recognition","display_name":"Boosting Method for Local Learning in Statistical Pattern Recognition","publication_year":2008,"publication_date":"2008-06-05","ids":{"openalex":"https://openalex.org/W2104680668","doi":"https://doi.org/10.1162/neco.2008.06-07-549","mag":"2104680668","pmid":"https://pubmed.ncbi.nlm.nih.gov/18533822"},"language":"en","primary_location":{"id":"doi:10.1162/neco.2008.06-07-549","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2008.06-07-549","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":"letter","indexed_in":["crossref","pubmed"],"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/A5091336955","display_name":"Masanori Kawakita","orcid":"https://orcid.org/0000-0003-4224-8939"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanori Kawakita","raw_affiliation_strings":["Department of Computer Science and Communication Engineering, Kyushu University, Fukuoka 819-0395, Japan","Department of Computer Science and Communication Engineering, Kyushu University, Fukuoka 819-0395, Japan. kawakita@csce.kyushu-u.ac.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication Engineering, Kyushu University, Fukuoka 819-0395, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Department of Computer Science and Communication Engineering, Kyushu University, Fukuoka 819-0395, Japan. kawakita@csce.kyushu-u.ac.jp","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060169206","display_name":"Shinto Eguchi","orcid":"https://orcid.org/0000-0002-3974-618X"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinto Eguchi","raw_affiliation_strings":["Institute of Statistical Mathematics, Department of Statistical Science, Graduate University of Advanced Studies, Tokyo 106-8569, Japan","Institute of Statistical Mathematics, Department of Statistical Science, Graduate University of Advanced Studies, Tokyo 106-8569, Japan. eguchi@ism.ac.jp#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistical Mathematics, Department of Statistical Science, Graduate University of Advanced Studies, Tokyo 106-8569, Japan","institution_ids":["https://openalex.org/I4210134673"]},{"raw_affiliation_string":"Institute of Statistical Mathematics, Department of Statistical Science, Graduate University of Advanced Studies, Tokyo 106-8569, Japan. eguchi@ism.ac.jp#TAB#","institution_ids":["https://openalex.org/I200475212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5878,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78986946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"20","issue":"11","first_page":"2792","last_page":"2838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9941999912261963,"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/boosting","display_name":"Boosting (machine learning)","score":0.9507306814193726},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8192086219787598},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6624888181686401},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.616478443145752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5684492588043213},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.524387538433075},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4926825165748596},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.49092772603034973},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4588949680328369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45122379064559937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327843189239502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41494908928871155},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.21028760075569153},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20334872603416443}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9507306814193726},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8192086219787598},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6624888181686401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.616478443145752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684492588043213},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.524387538433075},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4926825165748596},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.49092772603034973},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4588949680328369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45122379064559937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327843189239502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41494908928871155},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.21028760075569153},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20334872603416443},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1162/neco.2008.06-07-549","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2008.06-07-549","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"},{"id":"pmid:18533822","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18533822","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1509689762","https://openalex.org/W1544729927","https://openalex.org/W1546851689","https://openalex.org/W1564947197","https://openalex.org/W1570060426","https://openalex.org/W1585566614","https://openalex.org/W1597926580","https://openalex.org/W1608733719","https://openalex.org/W1982032418","https://openalex.org/W1982806865","https://openalex.org/W1984140225","https://openalex.org/W1988790447","https://openalex.org/W2004945083","https://openalex.org/W2010353172","https://openalex.org/W2024046085","https://openalex.org/W2024217857","https://openalex.org/W2041615247","https://openalex.org/W2053186076","https://openalex.org/W2068221105","https://openalex.org/W2078030658","https://openalex.org/W2092530991","https://openalex.org/W2093717447","https://openalex.org/W2106579555","https://openalex.org/W2154615866","https://openalex.org/W2155729182","https://openalex.org/W2157112198","https://openalex.org/W2579923771","https://openalex.org/W2797583072","https://openalex.org/W2982720039","https://openalex.org/W2989661724","https://openalex.org/W3004732066","https://openalex.org/W3009784374","https://openalex.org/W3014310718","https://openalex.org/W3034905139","https://openalex.org/W3098965260","https://openalex.org/W4251115686","https://openalex.org/W4253712714"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2057359786","https://openalex.org/W2394466068","https://openalex.org/W2915012007","https://openalex.org/W2381401419","https://openalex.org/W2383501440","https://openalex.org/W2417174640","https://openalex.org/W4312866165","https://openalex.org/W2957157835","https://openalex.org/W145653800"],"abstract_inverted_index":{"We":[0,31],"propose":[1],"a":[2,23,54,157,172],"local":[3,15,20,39,62,93,130,189],"boosting":[4,40,60,63,75,94,111,131,151],"method":[5],"in":[6,41],"classification":[7,119,126,173],"problems":[8],"borrowing":[9],"from":[10],"an":[11,144],"idea":[12],"of":[13,37,44,50,188],"the":[14,33,38,42,51,67,71,78,100,103,107],"likelihood":[16],"method.":[17],"Our":[18],"proposal,":[19],"boosting,":[21,92,141],"includes":[22],"simple":[24,133,153,158],"device":[25],"for":[26,28,57,136],"localization":[27],"computational":[29],"feasibility.":[30],"proved":[32],"Bayes":[34,79],"risk":[35,80],"consistency":[36,81],"framework":[43],"Probably":[45],"approximately":[46],"correct":[47],"learning.":[48],"Inspection":[49],"proof":[52],"provides":[53],"useful":[55],"viewpoint":[56],"comparing":[58],"ordinary":[59,91],"and":[61,70,106,166],"with":[64,112,132,146,152],"respect":[65,147],"to":[66,87,90,129,148,160,171],"estimation":[68,104],"error":[69,105],"approximation":[72,84,108],"error.":[73,109],"Both":[74],"methods":[76],"have":[77,125],"if":[82],"their":[83,168],"errors":[85],"decrease":[86],"zero.":[88],"Compared":[89],"may":[95,124],"perform":[96],"better":[97],"by":[98],"controlling":[99],"trade-off":[101],"between":[102],"Ordinary":[110],"complicated":[113],"base":[114,134,154],"classifiers":[115,155],"or":[116],"other":[117],"strong":[118],"methods,":[120],"including":[121],"kernel":[122],"machines,":[123],"performance":[127],"comparable":[128],"classifiers,":[135],"example,":[137],"decision":[138],"stumps.":[139],"Local":[140,150],"however,":[142],"has":[143],"advantage":[145],"interpretability.":[149],"offers":[156],"way":[159],"specify":[161],"which":[162],"features":[163],"are":[164],"informative":[165],"how":[167],"values":[169],"contribute":[170],"rule":[174],"even":[175],"though":[176],"locally.":[177],"Several":[178],"numerical":[179],"studies":[180],"on":[181],"real":[182],"data":[183],"sets":[184],"confirm":[185],"these":[186],"advantages":[187],"boosting.":[190]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
