{"id":"https://openalex.org/W1992847598","doi":"https://doi.org/10.1109/icassp.2008.4518033","title":"Cost-sensitive boosting algorithms as gradient descent","display_name":"Cost-sensitive boosting algorithms as gradient descent","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W1992847598","doi":"https://doi.org/10.1109/icassp.2008.4518033","mag":"1992847598"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518033","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/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"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":"Yang-Qui Song","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":"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","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"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.16694915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2009","last_page":"2012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9972000122070312,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9972000122070312,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955000281333923,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9947999715805054,"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":0.9494929909706116},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8573973178863525},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.7804446220397949},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.652975857257843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6356960535049438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510700523853302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47588029503822327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41444239020347595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34226492047309875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10460174083709717},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07561331987380981}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9494929909706116},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8573973178863525},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7804446220397949},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.652975857257843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6356960535049438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510700523853302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47588029503822327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41444239020347595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34226492047309875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10460174083709717},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07561331987380981},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2008.4518033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518033","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-79925","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-79925","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1540371141","https://openalex.org/W1580049798","https://openalex.org/W1678356000","https://openalex.org/W2024046085","https://openalex.org/W2084812512","https://openalex.org/W2102281237","https://openalex.org/W2103614420","https://openalex.org/W2107008825","https://openalex.org/W2108263314","https://openalex.org/W2128808713","https://openalex.org/W2294223532","https://openalex.org/W2482589566","https://openalex.org/W6606837198","https://openalex.org/W6632223008","https://openalex.org/W6634569365","https://openalex.org/W6675256168","https://openalex.org/W6676249281","https://openalex.org/W6676261111"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2967733078","https://openalex.org/W1992847598"],"abstract_inverted_index":{"AdaBoost":[0,18,64],"is":[1,29,41],"a":[2,23,114,121],"well":[3],"known":[4],"boosting":[5,39,47,73,124],"method":[6],"for":[7,31,49,112],"generating":[8],"strong":[9],"ensemble":[10],"of":[11,17,69,132],"weak":[12],"base":[13],"learners.":[14],"The":[15],"procedure":[16],"can":[19,86,105],"be":[20,87,107],"fitted":[21],"in":[22],"gradient":[24,90,110],"descent":[25,91,111],"optimization":[26],"framework,":[27],"which":[28],"important":[30],"analyzing":[32],"and":[33],"devising":[34],"its":[35],"procedure.":[36,65,125,135],"Cost":[37],"sensitive":[38,51,72],"(CSB)":[40],"an":[42],"emerging":[43],"subject":[44],"extending":[45],"the":[46,62,67,130,133],"methods":[48,56,74,85,104],"cost":[50,71],"classification":[52],"applications.":[53],"Most":[54],"CSB":[55,103],"are":[57,75],"performed":[58],"by":[59,78],"directly":[60],"modifying":[61],"original":[63],"Unfortunately,":[66],"effectiveness":[68,131],"most":[70],"checked":[76],"only":[77],"experiments.":[79],"It":[80],"remains":[81],"unclear":[82],"whether":[83],"these":[84],"viewed":[88],"as":[89,109],"procedures":[92],"like":[93],"AdaBoost.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"show":[99],"that":[100],"several":[101],"typical":[102],"also":[106,128],"view":[108],"minimizing":[113],"unified":[115],"objective":[116],"function.":[117],"We":[118],"then":[119],"deduce":[120],"general":[122],"greedy":[123],"Experimental":[126],"results":[127],"validate":[129],"proposed":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}