{"id":"https://openalex.org/W2624530571","doi":"https://doi.org/10.1109/tkde.2019.2937078","title":"Distribution-Free One-Pass Learning","display_name":"Distribution-Free One-Pass Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2624530571","doi":"https://doi.org/10.1109/tkde.2019.2937078","mag":"2624530571"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2937078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2937078","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.02471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Peng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinqiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinqiang Wang","raw_affiliation_strings":["Key Lab of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siyu Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyu Xie","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Guo","raw_affiliation_strings":["Key Lab of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Systems and Control, Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhi-Hua Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hua Zhou","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2687,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84498115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.2653000056743622,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.2653000056743622,"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":0.23909999430179596,"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":0.06440000236034393,"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/data-modeling","display_name":"Data modeling","score":0.4846999943256378},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.48030000925064087},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43160000443458557},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.40450000762939453},{"id":"https://openalex.org/keywords/computational-learning-theory","display_name":"Computational learning theory","score":0.3560999929904938},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.3506999909877777},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.33730000257492065},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3239000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8569999933242798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5521000027656555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476999878883362},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.48030000925064087},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43160000443458557},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.40450000762939453},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C32254414","wikidata":"https://www.wikidata.org/wiki/Q4724364","display_name":"Algorithmic learning theory","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2019.2937078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2937078","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1706.02471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02471","pdf_url":"https://arxiv.org/pdf/1706.02471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.02471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02471","pdf_url":"https://arxiv.org/pdf/1706.02471","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1506637749","https://openalex.org/W1570963478","https://openalex.org/W1827413727","https://openalex.org/W1968980002","https://openalex.org/W1970328257","https://openalex.org/W1984316102","https://openalex.org/W1990079212","https://openalex.org/W2040870580","https://openalex.org/W2047439438","https://openalex.org/W2048837324","https://openalex.org/W2069315453","https://openalex.org/W2069701377","https://openalex.org/W2073256825","https://openalex.org/W2078382802","https://openalex.org/W2082168306","https://openalex.org/W2096846143","https://openalex.org/W2099419573","https://openalex.org/W2110222014","https://openalex.org/W2115677675","https://openalex.org/W2123003172","https://openalex.org/W2133088989","https://openalex.org/W2139327121","https://openalex.org/W2160512933","https://openalex.org/W2252617635","https://openalex.org/W2299684943","https://openalex.org/W2412094331","https://openalex.org/W2593805793","https://openalex.org/W2746791238","https://openalex.org/W2763152536","https://openalex.org/W2808856927","https://openalex.org/W2896969499","https://openalex.org/W2898036135","https://openalex.org/W2903044631","https://openalex.org/W2961280047","https://openalex.org/W4210966338","https://openalex.org/W4231057675","https://openalex.org/W4244473079","https://openalex.org/W4299655946","https://openalex.org/W6628873980","https://openalex.org/W6634287711","https://openalex.org/W6639055646","https://openalex.org/W6678100781","https://openalex.org/W6684932486","https://openalex.org/W6685747873","https://openalex.org/W6698157900","https://openalex.org/W6730187185","https://openalex.org/W6734343938","https://openalex.org/W6754674759","https://openalex.org/W6760928253"],"related_works":[],"abstract_inverted_index":{"In":[0,25,64],"many":[1],"large-scale":[2],"machine":[3],"learning":[4,60],"applications,":[5],"data":[6,38,43,49,86],"are":[7],"accumulated":[8],"over":[9],"time,":[10],"and":[11,40,108,121,129],"thus,":[12],"an":[13,22],"appropriate":[14],"model":[15],"should":[16],"be":[17,29,89],"able":[18],"to":[19,31,105],"update":[20],"in":[21],"online":[23],"style.":[24],"particular,":[26],"it":[27],"would":[28],"ideal":[30],"have":[32],"a":[33,61,69,96],"storage":[34,109],"independent":[35],"from":[36],"the":[37,48,54,82,122],"volume,":[39],"scan":[41],"each":[42],"item":[44,87],"only":[45],"once.":[46],"Meanwhile,":[47],"distribution":[50],"usually":[51],"changes":[52],"during":[53],"accumulation":[55],"procedure,":[56],"making":[57],"distribution-free":[58],"one-pass":[59],"challenging":[62],"task.":[63],"this":[65,75],"paper,":[66],"we":[67],"propose":[68],"simple":[70],"yet":[71],"effective":[72],"approach":[73],"for":[74,98],"task,":[76],"without":[77],"requiring":[78],"prior":[79],"knowledge":[80],"about":[81],"change,":[83],"where":[84],"every":[85],"can":[88],"discarded":[90],"once":[91],"scanned.":[92],"We":[93],"also":[94],"present":[95],"variant":[97],"high-dimensional":[99],"situations,":[100],"by":[101],"exploiting":[102],"compressed":[103],"sensing":[104],"reduce":[106],"computational":[107],"complexity.":[110],"Theoretical":[111],"analysis":[112],"shows":[113],"that":[114],"our":[115],"proposal":[116],"converges":[117],"under":[118],"mild":[119],"assumptions,":[120],"performance":[123],"is":[124],"validated":[125],"on":[126],"both":[127],"synthetic":[128],"real-world":[130],"datasets.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2017-06-15T00:00:00"}
