{"id":"https://openalex.org/W2243333500","doi":"https://doi.org/10.1109/fskd.2015.7382020","title":"AOSA-LogistBoost: Adaptive One-Vs-All LogistBoost for multi-class classification problems","display_name":"AOSA-LogistBoost: Adaptive One-Vs-All LogistBoost for multi-class classification problems","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2243333500","doi":"https://doi.org/10.1109/fskd.2015.7382020","mag":"2243333500"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5110106548","display_name":"Kaiyuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiyuan Wu","raw_affiliation_strings":["School of Mathematics and Systems Science, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Systems Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110106548"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12304445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"654","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.5534088611602783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5243956446647644},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4774482846260071},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4706886112689972},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4522266685962677},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4518919289112091},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4402974545955658},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4234354496002197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.408795028924942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3572503626346588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534088611602783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5243956446647644},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4774482846260071},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4706886112689972},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4522266685962677},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4518919289112091},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4402974545955658},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4234354496002197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.408795028924942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3572503626346588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W154661225","https://openalex.org/W1504694836","https://openalex.org/W1506806321","https://openalex.org/W1605688901","https://openalex.org/W1647002864","https://openalex.org/W1678356000","https://openalex.org/W1959511748","https://openalex.org/W1967913642","https://openalex.org/W1996976533","https://openalex.org/W2024046085","https://openalex.org/W2093717447","https://openalex.org/W2096520669","https://openalex.org/W2112076978","https://openalex.org/W2113635748","https://openalex.org/W2117085409","https://openalex.org/W2121214213","https://openalex.org/W2125055259","https://openalex.org/W2153165775","https://openalex.org/W2153635508","https://openalex.org/W2172000360","https://openalex.org/W2911964244","https://openalex.org/W2962979321","https://openalex.org/W3004732066","https://openalex.org/W3120740533","https://openalex.org/W3152294918","https://openalex.org/W6606294657","https://openalex.org/W6674516588","https://openalex.org/W6676769703","https://openalex.org/W6676855097"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W1805912688","https://openalex.org/W2373973507","https://openalex.org/W2022231341","https://openalex.org/W4250902763","https://openalex.org/W4255476312","https://openalex.org/W2351154965","https://openalex.org/W2041503010","https://openalex.org/W2357579988"],"abstract_inverted_index":{"We":[0,62,134],"present":[1],"a":[2,33],"general":[3],"framework":[4],"for":[5],"constructing":[6],"adaptive":[7],"LogistBoost":[8,17,81],"Multi-Class":[9],"Classification":[10],"algorithms.":[11],"In":[12],"contrast":[13],"to":[14,69,78,100,123,126],"the":[15,42,45,48,54,71,74,79,83,97,103,128,131,137],"original":[16,80],"algorithm,":[18,82],"which":[19],"constructs":[20],"J":[21],"(the":[22],"number":[23],"of":[24,44,50,73,130,139],"classes)":[25],"scalar":[26],"regression":[27,36],"trees":[28],"per":[29,38],"iteration,":[30],"we":[31,95],"construct":[32],"single":[34],"vector":[35],"tree":[37],"iteration.":[39],"Based":[40],"on":[41,66],"analysis":[43],"loss":[46],"function,":[47],"concept":[49],"node":[51,107],"mode":[52],"and":[53,89,118,142],"AOSA-LogistBoost":[55,84],"(Adaptive":[56],"One-vS-All":[57],"LogistBoost)":[58],"algorithm":[59],"are":[60,121],"proposed.":[61],"perform":[63],"numerical":[64],"experiments":[65],"ten":[67],"datasets":[68],"test":[70,91,136],"performance":[72,129,138],"new":[75],"algorithm.":[76,147],"Compared":[77],"has":[85],"faster":[86],"convergence":[87],"rate":[88],"lower":[90],"error":[92],"rate.":[93],"Furthermore,":[94],"introduce":[96],"inverted":[98],"index":[99],"quickly":[101],"re-sort":[102],"data":[104],"samples":[105],"after":[106],"split":[108],"with":[109,145],"linear":[110],"computational":[111],"complexity.":[112],"Methods":[113],"like":[114],"Bagging,":[115],"Random":[116,119,143],"Features":[117,144],"Forest,":[120],"shown":[122],"be":[124],"able":[125],"improve":[127],"decision":[132],"tree.":[133],"also":[135],"combining":[140],"Bagging":[141],"our":[146]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}