{"id":"https://openalex.org/W3011961158","doi":"https://doi.org/10.5555/1953048.2021058","title":"A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin","display_name":"A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W3011961158","doi":"https://doi.org/10.5555/1953048.2021058","mag":"3011961158"},"language":"en","primary_location":{"id":"mag:3011961158","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1953048.2021058","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5022782968","display_name":"WangLiwei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WangLiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103990545","display_name":"SugiyamaMasashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SugiyamaMasashi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085224347","display_name":"JingZhaoxiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"JingZhaoxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051867513","display_name":"YangCheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YangCheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054327502","display_name":"ZhouZhi-Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZhouZhi-Hua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030150208","display_name":"FengJufu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"FengJufu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78061919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.8212000131607056,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.8212000131607056,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.7742000222206116,"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":0.7372000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8471153974533081},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8001395463943481},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7685622572898865},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5219066143035889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4636598229408264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45666036009788513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42040252685546875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.390188992023468},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3791421949863434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37250566482543945},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3434993624687195},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21178418397903442}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8471153974533081},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8001395463943481},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7685622572898865},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5219066143035889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4636598229408264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45666036009788513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42040252685546875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.390188992023468},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3791421949863434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37250566482543945},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3434993624687195},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21178418397903442},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3011961158","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1953048.2021058","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2154179941","https://openalex.org/W180717754","https://openalex.org/W2151509918","https://openalex.org/W155703140","https://openalex.org/W121655352","https://openalex.org/W2054697721","https://openalex.org/W2886636600","https://openalex.org/W1906991280","https://openalex.org/W2483027298","https://openalex.org/W2017776670","https://openalex.org/W1820176886","https://openalex.org/W2908463637","https://openalex.org/W2340870721","https://openalex.org/W2979236518","https://openalex.org/W2098300287","https://openalex.org/W3099524215","https://openalex.org/W2979484367","https://openalex.org/W2895991213","https://openalex.org/W2996578286","https://openalex.org/W2128384737"],"abstract_inverted_index":{"Much":[0],"attention":[1],"has":[2],"been":[3],"paid":[4],"to":[5],"the":[6,10,20,30],"theoretical":[7],"explanation":[8],"of":[9,13],"empirical":[11],"success":[12],"AdaBoost.":[14],"The":[15],"most":[16],"influential":[17],"work":[18],"is":[19,24],"margin":[21],"theory,":[22],"which":[23],"essentially":[25],"an":[26],"upper":[27],"bound":[28],"for":[29],"general...":[31]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}