{"id":"https://openalex.org/W2109690159","doi":"https://doi.org/10.1109/icassp.2008.4518366","title":"A weighted subspace approach for improving bagging performance","display_name":"A weighted subspace approach for improving bagging performance","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2109690159","doi":"https://doi.org/10.1109/icassp.2008.4518366","mag":"2109690159"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518366","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5052092595","display_name":"Qutang Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qu-Tang Cai","raw_affiliation_strings":["State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList),  Department of Automation, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList),  Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028740131","display_name":"Chunyi Peng","orcid":"https://orcid.org/0000-0002-2361-2224"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Chun-Yi Peng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft Research Asia, 49 Zhichun Road, Haidian District, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research Asia, 49 Zhichun Road, Haidian District, Beijing 100084, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065063835","display_name":"Changshui Zhang","orcid":"https://orcid.org/0000-0002-8088-367X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Shui Zhang","raw_affiliation_strings":["State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList),  Department of Automation, Tsinghua University, Beijing, China","State Key Laboratory on Intelligent Technology and Systems ,Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList),  Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems ,Tsinghua National Laboratory for Information Science and Technology(TNList), Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052092595"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.4197,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.48912467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3341","last_page":"3344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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":0.9944999814033508,"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/random-forest","display_name":"Random forest","score":0.7864556312561035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6682528257369995},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6413986682891846},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6386433839797974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6368283033370972},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6035882234573364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6035706400871277},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.599609911441803},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5763601064682007},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5524553060531616},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.518858790397644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5032920241355896},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49982404708862305},{"id":"https://openalex.org/keywords/bootstrap-aggregating","display_name":"Bootstrap aggregating","score":0.4770711660385132},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4420994222164154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4293130040168762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32168158888816833}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7864556312561035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682528257369995},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6413986682891846},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6386433839797974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6368283033370972},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6035882234573364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035706400871277},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.599609911441803},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5763601064682007},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5524553060531616},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.518858790397644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5032920241355896},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49982404708862305},{"id":"https://openalex.org/C162040801","wikidata":"https://www.wikidata.org/wiki/Q799897","display_name":"Bootstrap aggregating","level":2,"score":0.4770711660385132},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4420994222164154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4293130040168762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32168158888816833},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2008.4518366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518366","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1605688901","https://openalex.org/W1975846642","https://openalex.org/W2084812512","https://openalex.org/W2113242816","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2982720039","https://openalex.org/W3009784374","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W1981866886","https://openalex.org/W4233259193","https://openalex.org/W2600353413","https://openalex.org/W2104246955","https://openalex.org/W2145836532","https://openalex.org/W2052615004","https://openalex.org/W1760344465","https://openalex.org/W2599507641","https://openalex.org/W2017396468"],"abstract_inverted_index":{"Bagging":[0],"is":[1,113],"an":[2,81],"ensemble":[3,128],"method":[4,112],"that":[5,110],"uses":[6],"random":[7,19,132,135],"resampling":[8,20],"of":[9,55,66,75,121],"a":[10,101],"dataset":[11],"to":[12,46,96,115],"construct":[13],"models.":[14],"In":[15,31],"classification":[16,26,42,56,119],"scenarios,":[17],"the":[18,29,40,53,64,71,94,97,118],"procedure":[21],"in":[22,36,58,104],"bagging":[23,35],"induces":[24],"some":[25,86],"margin":[27],"over":[28],"dataset.":[30],"addition,":[32],"when":[33],"perform":[34],"different":[37],"feature":[38,59,89],"subspaces,":[39,90],"resulting":[41],"margins":[43,57],"are":[44],"likely":[45],"be":[47],"diverse.":[48],"We":[49,68],"take":[50],"into":[51,80],"account":[52],"diversity":[54],"sub-":[60,98],"spaces":[61,99],"for":[62,84,88],"improving":[63],"performance":[65],"bagging.":[67],"first":[69],"study":[70],"average":[72],"error":[73],"rate":[74],"bagging,":[76,122],"convert":[77],"our":[78,111],"task":[79],"optimization":[82],"problem":[83],"determining":[85],"weights":[87,95],"and":[91,123,134],"then":[92],"assign":[93],"via":[100],"randomized":[102],"technique":[103],"classifier":[105],"construction.":[106],"Experimental":[107],"results":[108],"demonstrate":[109],"able":[114],"further":[116],"improve":[117],"accuracy":[120],"also":[124],"outperforms":[125],"several":[126],"other":[127],"methods":[129],"including":[130],"AdaBoost,":[131],"forests":[133],"subspace":[136],"method.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}