{"id":"https://openalex.org/W2782618046","doi":"https://doi.org/10.1109/bigdata.2017.8257973","title":"Inverse extreme learning machine for learning with label proportions","display_name":"Inverse extreme learning machine for learning with label proportions","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782618046","doi":"https://doi.org/10.1109/bigdata.2017.8257973","mag":"2782618046"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8257973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5046719515","display_name":"Limeng Cui","orcid":"https://orcid.org/0000-0002-5222-3690"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Limeng Cui","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462845","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-8634-1687"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["Department of Computer Science, Florida State University, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085527500","display_name":"Zhen\u2010Song Chen","orcid":"https://orcid.org/0000-0003-4360-5459"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensong Chen","raw_affiliation_strings":["School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102950309","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0003-0895-9868"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":["Chinese Academy of Sciences, Key Laboratory of Big Data Mining and Knowledge Management, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Key Laboratory of Big Data Mining and Knowledge Management, Beijing, China","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046719515"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.1701,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84812825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"576","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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":0.9965000152587891,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9609000086784363,"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/machine-learning","display_name":"Machine learning","score":0.8464367985725403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7946412563323975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7789108753204346},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6990026831626892},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6565412878990173},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.6373903751373291},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.594802737236023},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4971950352191925},{"id":"https://openalex.org/keywords/learning-classifier-system","display_name":"Learning classifier system","score":0.483621746301651},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.4683011770248413},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4347500205039978},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4138285219669342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32341787219047546},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.2746207118034363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18904763460159302}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8464367985725403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946412563323975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7789108753204346},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6990026831626892},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6565412878990173},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.6373903751373291},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.594802737236023},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4971950352191925},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.483621746301651},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.4683011770248413},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4347500205039978},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4138285219669342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32341787219047546},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2746207118034363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18904763460159302},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8257973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W7903576","https://openalex.org/W1479807131","https://openalex.org/W1563294799","https://openalex.org/W1564684449","https://openalex.org/W1607038179","https://openalex.org/W1618905105","https://openalex.org/W1670526751","https://openalex.org/W1821464114","https://openalex.org/W1963616278","https://openalex.org/W1990334093","https://openalex.org/W2004236981","https://openalex.org/W2012942264","https://openalex.org/W2021740655","https://openalex.org/W2028704235","https://openalex.org/W2061148491","https://openalex.org/W2063438554","https://openalex.org/W2064390898","https://openalex.org/W2065218422","https://openalex.org/W2082741089","https://openalex.org/W2098824882","https://openalex.org/W2098986246","https://openalex.org/W2103284199","https://openalex.org/W2106848050","https://openalex.org/W2108745803","https://openalex.org/W2111072639","https://openalex.org/W2114396536","https://openalex.org/W2117426363","https://openalex.org/W2119823327","https://openalex.org/W2123019231","https://openalex.org/W2128532956","https://openalex.org/W2134603844","https://openalex.org/W2164836127","https://openalex.org/W2185563688","https://openalex.org/W2243720099","https://openalex.org/W2357329924","https://openalex.org/W2400392044","https://openalex.org/W2407981807","https://openalex.org/W2415789386","https://openalex.org/W2506537347","https://openalex.org/W2514741231","https://openalex.org/W2560045542","https://openalex.org/W2572764968","https://openalex.org/W2580413694","https://openalex.org/W2963029447","https://openalex.org/W2963113424","https://openalex.org/W2964324211","https://openalex.org/W4210997624","https://openalex.org/W4293396047","https://openalex.org/W4297801285","https://openalex.org/W6636455955","https://openalex.org/W6636501900","https://openalex.org/W6637239005","https://openalex.org/W6675573114","https://openalex.org/W6676245398","https://openalex.org/W6676896291","https://openalex.org/W6677462325","https://openalex.org/W6686566240","https://openalex.org/W6693514096","https://openalex.org/W6713086826","https://openalex.org/W6725697083","https://openalex.org/W6730464539","https://openalex.org/W6731817892"],"related_works":["https://openalex.org/W2969890106","https://openalex.org/W2098239572","https://openalex.org/W184546935","https://openalex.org/W1986633584","https://openalex.org/W4205569898","https://openalex.org/W3033485676","https://openalex.org/W36398315","https://openalex.org/W3210156800","https://openalex.org/W2186368657","https://openalex.org/W2782796106"],"abstract_inverted_index":{"In":[0,155],"large-scale":[1],"learning":[2,7,29,51,152,163,173],"problem,":[3],"the":[4,11,15,24,28,32,63,80,95,108,124,138,146,151,183,190,207,211,217,221,227],"scalability":[5],"of":[6,27,34,49,74,84,102,129,150,195,220,229],"algorithms":[8,30],"is":[9,20,45,128],"usually":[10],"key":[12],"factor":[13],"affecting":[14],"algorithm":[16,153],"practical":[17],"performance,":[18],"which":[19,53],"determined":[21],"by":[22,193],"both":[23],"time":[25,141,148],"complexity":[26,149],"and":[31,118,171],"amount":[33],"supervision":[35],"information":[36],"(i.e.,":[37],"labeled":[38,76,126],"data).":[39],"Learning":[40,178],"with":[41,206,231],"label":[42],"proportions":[43,83],"(LLP)":[44],"a":[46,70,100,130,142,160,232],"new":[47],"kind":[48],"machine":[50],"problem":[52],"has":[54],"drawn":[55],"much":[56],"attention":[57],"in":[58,105,235],"recent":[59],"years.":[60],"Different":[61],"from":[62,72,137],"well-known":[64],"supervised":[65],"learning,":[66],"LLP":[67,98,134],"can":[68,187],"estimate":[69],"classifier":[71],"groups":[73],"weakly":[75],"data,":[77,97,112],"where":[78],"only":[79],"positive/negative":[81],"class":[82],"each":[85],"group":[86],"are":[87],"known.":[88],"Due":[89],"to":[90,145,181],"its":[91],"weak":[92],"requirements":[93],"for":[94,197],"input":[96],"presents":[99],"variety":[101],"real-world":[103,236],"applications":[104],"almost":[106],"all":[107],"fields":[109],"involving":[110],"anonymous":[111],"like":[113],"computer":[114],"vision,":[115],"fraud":[116],"detection":[117],"spam":[119],"filtering.":[120],"However,":[121],"even":[122],"through":[123],"required":[125],"data":[127],"very":[131,161],"small":[132],"amount,":[133],"still":[135],"suffers":[136],"long":[139],"execution":[140],"lot":[143],"due":[144],"high":[147],"itself.":[154],"this":[156],"paper,":[157],"we":[158],"propose":[159],"fast":[162],"method":[164],"based":[165,241],"on":[166,242],"inversing":[167],"output":[168],"scaling":[169],"process":[170,192],"extreme":[172],"machine,":[174],"namely":[175],"Inverse":[176],"Extreme":[177],"Machine":[179],"(IELM),":[180],"address":[182],"above":[184],"issues.":[185],"IELM":[186,230],"speed":[188],"up":[189],"training":[191],"order":[194],"magnitudes":[196],"large":[198],"datasets,":[199],"while":[200],"achieving":[201],"highly":[202],"competitive":[203],"classification":[204],"accuracy":[205],"existing":[208],"methods":[209],"at":[210],"same":[212],"time.":[213],"Extensive":[214],"experiments":[215],"demonstrate":[216,226],"significant":[218],"speedup":[219],"proposed":[222],"method.":[223],"We":[224],"also":[225],"feasibility":[228],"case":[233],"study":[234],"setting:":[237],"modeling":[238],"image":[239],"attributes":[240],"ImageNet":[243],"Object":[244],"Attributes":[245],"dataset.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
