{"id":"https://openalex.org/W3097191881","doi":"https://doi.org/10.1007/s10472-020-09716-0","title":"Multiple-source adaptation theory and algorithms","display_name":"Multiple-source adaptation theory and algorithms","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3097191881","doi":"https://doi.org/10.1007/s10472-020-09716-0","mag":"3097191881"},"language":"en","primary_location":{"id":"doi:10.1007/s10472-020-09716-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10472-020-09716-0","pdf_url":null,"source":{"id":"https://openalex.org/S90199469","display_name":"Annals of Mathematics and Artificial Intelligence","issn_l":"1012-2443","issn":["1012-2443","1573-7470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Mathematics and Artificial Intelligence","raw_type":"journal-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/A5007136748","display_name":"Ningshan Zhang","orcid":"https://orcid.org/0000-0002-0175-8759"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ningshan Zhang","raw_affiliation_strings":["New York University, New York, NY, 10012, USA"],"raw_orcid":"https://orcid.org/0000-0002-0175-8759","affiliations":[{"raw_affiliation_string":"New York University, New York, NY, 10012, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058849006","display_name":"Mehryar Mohri","orcid":"https://orcid.org/0000-0002-3987-9847"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehryar Mohri","raw_affiliation_strings":["Google Research and Courant Institute of Mathematical Sciences, New York, NY, 10012, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research and Courant Institute of Mathematical Sciences, New York, NY, 10012, USA","institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I36672615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038068459","display_name":"Judy Hoffman","orcid":"https://orcid.org/0000-0003-1971-1606"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Judy Hoffman","raw_affiliation_strings":["School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007136748"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.6703,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77731296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"89","issue":"3-4","first_page":"237","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T11220","display_name":"Water Systems and Optimization","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9919000267982483,"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":0.6449497938156128},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6014376878738403},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5572820901870728},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5165104269981384},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.45679524540901184},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4453481435775757},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.439268559217453},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43391984701156616},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.42654484510421753},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3571954369544983},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.336152046918869},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3295779824256897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31124961376190186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26407432556152344},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09402647614479065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449497938156128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6014376878738403},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5572820901870728},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5165104269981384},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45679524540901184},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4453481435775757},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.439268559217453},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43391984701156616},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.42654484510421753},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3571954369544983},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.336152046918869},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3295779824256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31124961376190186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26407432556152344},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09402647614479065},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10472-020-09716-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10472-020-09716-0","pdf_url":null,"source":{"id":"https://openalex.org/S90199469","display_name":"Annals of Mathematics and Artificial Intelligence","issn_l":"1012-2443","issn":["1012-2443","1573-7470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Mathematics and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6689537699","display_name":null,"funder_award_id":"IIS-1618662","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G789987671","display_name":null,"funder_award_id":"CCF-1535987","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"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W81972919","https://openalex.org/W96659543","https://openalex.org/W879220392","https://openalex.org/W1494163099","https://openalex.org/W1581984155","https://openalex.org/W1608944489","https://openalex.org/W1617650991","https://openalex.org/W1722318740","https://openalex.org/W1822439997","https://openalex.org/W1852255964","https://openalex.org/W1969768653","https://openalex.org/W1978380814","https://openalex.org/W1978920452","https://openalex.org/W1981658663","https://openalex.org/W1987197432","https://openalex.org/W1997413930","https://openalex.org/W2010362084","https://openalex.org/W2017781790","https://openalex.org/W2019363670","https://openalex.org/W2026653933","https://openalex.org/W2031342017","https://openalex.org/W2032916024","https://openalex.org/W2033925917","https://openalex.org/W2051664786","https://openalex.org/W2060186712","https://openalex.org/W2069057437","https://openalex.org/W2070126920","https://openalex.org/W2070994188","https://openalex.org/W2075567596","https://openalex.org/W2084046180","https://openalex.org/W2099111195","https://openalex.org/W2102605133","https://openalex.org/W2105523772","https://openalex.org/W2107369107","https://openalex.org/W2108646579","https://openalex.org/W2111362445","https://openalex.org/W2112483442","https://openalex.org/W2120354757","https://openalex.org/W2122537498","https://openalex.org/W2122882636","https://openalex.org/W2126151240","https://openalex.org/W2128053425","https://openalex.org/W2131953535","https://openalex.org/W2148440006","https://openalex.org/W2148603752","https://openalex.org/W2149466042","https://openalex.org/W2153353890","https://openalex.org/W2155541015","https://openalex.org/W2155858138","https://openalex.org/W2157989183","https://openalex.org/W2158815628","https://openalex.org/W2160306971","https://openalex.org/W2163302275","https://openalex.org/W2163489213","https://openalex.org/W2163605009","https://openalex.org/W2166765763","https://openalex.org/W2214409633","https://openalex.org/W2340859457","https://openalex.org/W2478708596","https://openalex.org/W2553897675","https://openalex.org/W2593768305","https://openalex.org/W2787045080","https://openalex.org/W2788768841","https://openalex.org/W2949280493","https://openalex.org/W2950561908","https://openalex.org/W2951670162","https://openalex.org/W2951904586","https://openalex.org/W2963449842","https://openalex.org/W2963826681","https://openalex.org/W3123022539","https://openalex.org/W4211186029","https://openalex.org/W6793289451"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W3041490575","https://openalex.org/W2970690932","https://openalex.org/W2994927414"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}