{"id":"https://openalex.org/W2965525213","doi":"https://doi.org/10.24963/ijcai.2019/346","title":"Online Learning from Capricious Data Streams: A Generative Approach","display_name":"Online Learning from Capricious Data Streams: A Generative Approach","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965525213","doi":"https://doi.org/10.24963/ijcai.2019/346","mag":"2965525213"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/346","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/346","pdf_url":"https://www.ijcai.org/proceedings/2019/0346.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0346.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100702364","display_name":"Yi He","orcid":"https://orcid.org/0000-0002-5357-6623"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi He","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110630713","display_name":"Baijun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baijun Wu","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette. USA","School of Computing and Informatics, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette. USA","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021847817","display_name":"Ege Beyaz\u0131t","orcid":"https://orcid.org/0000-0001-5731-7621"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ege Beyazit","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320969","display_name":"Sheng Chen","orcid":"https://orcid.org/0000-0001-6882-600X"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Chen","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100702364"],"corresponding_institution_ids":["https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":3.0345,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93315808,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2491","last_page":"2497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9661999940872192,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7695703506469727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730194091796875},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6728172302246094},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6160009503364563},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5800284743309021},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5080983638763428},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4910926818847656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47420600056648254},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4640568494796753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45717671513557434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4443686306476593},{"id":"https://openalex.org/keywords/data-space","display_name":"Data space","score":0.44101861119270325},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.43644753098487854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3341518044471741},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07681331038475037}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7695703506469727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730194091796875},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6728172302246094},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6160009503364563},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5800284743309021},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5080983638763428},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4910926818847656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47420600056648254},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4640568494796753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45717671513557434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4443686306476593},{"id":"https://openalex.org/C2988382989","wikidata":"https://www.wikidata.org/wiki/Q370685","display_name":"Data space","level":2,"score":0.44101861119270325},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.43644753098487854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3341518044471741},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07681331038475037},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.24963/ijcai.2019/346","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/346","pdf_url":"https://www.ijcai.org/proceedings/2019/0346.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/346","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/346","pdf_url":"https://www.ijcai.org/proceedings/2019/0346.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1539379727","display_name":null,"funder_award_id":"1763620","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2662406950","display_name":null,"funder_award_id":"IIS-1763620","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4803179417","display_name":null,"funder_award_id":"IIS-1652107","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7605139725","display_name":null,"funder_award_id":"1652107","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965525213.pdf","grobid_xml":"https://content.openalex.org/works/W2965525213.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W62043660","https://openalex.org/W117915344","https://openalex.org/W1993014433","https://openalex.org/W2012243161","https://openalex.org/W2019110265","https://openalex.org/W2085789144","https://openalex.org/W2113459411","https://openalex.org/W2129326773","https://openalex.org/W2148825261","https://openalex.org/W2159375150","https://openalex.org/W2161835057","https://openalex.org/W2165310684","https://openalex.org/W2165698076","https://openalex.org/W2167305996","https://openalex.org/W2346780474","https://openalex.org/W2572171072","https://openalex.org/W2626103914","https://openalex.org/W2740813652","https://openalex.org/W2741352581","https://openalex.org/W2785321994","https://openalex.org/W2892817351","https://openalex.org/W2962853854","https://openalex.org/W2963342068","https://openalex.org/W2965718579","https://openalex.org/W3009009611","https://openalex.org/W3023802502","https://openalex.org/W3171647238","https://openalex.org/W4302161581"],"related_works":["https://openalex.org/W2786094008","https://openalex.org/W4287325290","https://openalex.org/W3131501806","https://openalex.org/W2107137555","https://openalex.org/W2799683370","https://openalex.org/W2807745940","https://openalex.org/W4377715968","https://openalex.org/W4248700453","https://openalex.org/W2149773306","https://openalex.org/W76341530"],"abstract_inverted_index":{"Learning":[0],"with":[1,149],"streaming":[2],"data":[3,35,49],"has":[4],"received":[5],"extensive":[6],"attention":[7],"during":[8],"the":[9,16,34,96,100,108,113,121,133,141],"past":[10],"few":[11],"years.":[12],"Existing":[13],"approaches":[14],"assume":[15],"feature":[17,43,74,84,102,110,115,143],"space":[18,75,85,103,116,144],"is":[19,117],"fixed":[20],"or":[21],"changes":[22],"by":[23,39,119],"following":[24],"explicit":[25],"regularities,":[26],"limiting":[27],"their":[28],"applicability":[29],"in":[30,52,99,107],"dynamic":[31],"environments":[32],"where":[33],"streams":[36],"are":[37],"described":[38],"an":[40],"arbitrarily":[41],"varying":[42],"space.":[44,111],"To":[45],"handle":[46],"such":[47],"capricious":[48],"streams,":[50],"we":[51],"this":[53],"paper":[54],"develop":[55],"a":[56,79,82,127],"novel":[57],"algorithm,":[58],"named":[59],"OCDS":[60,77,157],"(Online":[61],"learning":[62,139],"from":[63,140],"Capricious":[64],"Data":[65],"Streams),":[66],"which":[67],"does":[68],"not":[69],"make":[70],"any":[71],"assumption":[72],"on":[73,81,161],"dynamics.":[76],"trains":[78],"learner":[80],"universal":[83,114,142],"that":[86,95,138,156],"establishes":[87],"relationships":[88],"between":[89],"old":[90,101],"and":[91,136,163],"new":[92,109],"features,":[93],"so":[94],"patterns":[97],"learned":[98],"can":[104,145],"be":[105],"used":[106],"Specifically,":[112],"constructed":[118],"leveraging":[120],"relatednesses":[122],"among":[123],"features.":[124],"We":[125],"propose":[126],"generative":[128],"graphical":[129],"model":[130,132],"to":[131],"construction":[134],"process,":[135],"show":[137],"effectively":[146],"improve":[147],"performance":[148,160],"theoretical":[150],"analysis.":[151],"The":[152],"experimental":[153],"results":[154],"demonstrate":[155],"achieves":[158],"conspicuous":[159],"synthetic":[162],"real":[164],"datasets.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}