{"id":"https://openalex.org/W3019237274","doi":"https://doi.org/10.5555/1390681.1442790","title":"Learning from Multiple Sources","display_name":"Learning from Multiple Sources","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W3019237274","doi":"https://doi.org/10.5555/1390681.1442790","mag":"3019237274"},"language":"en","primary_location":{"id":"mag:3019237274","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1390681.1442790","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5044880051","display_name":"CrammerKoby","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"CrammerKoby","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058442655","display_name":"KearnsMichael","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"KearnsMichael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006014920","display_name":"WortmanJennifer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WortmanJennifer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044880051"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7594,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89040808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9868000149726868,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9868000149726868,"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":0.934499979019165,"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":0.9280999898910522,"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":0.5161105394363403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39846131205558777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5161105394363403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39846131205558777}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3019237274","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1390681.1442790","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2949413679","https://openalex.org/W2364404283","https://openalex.org/W2952719477","https://openalex.org/W2833330548","https://openalex.org/W2934211168","https://openalex.org/W2092974722","https://openalex.org/W2981107697","https://openalex.org/W2254581726","https://openalex.org/W2891697899","https://openalex.org/W3035481721","https://openalex.org/W3130423234","https://openalex.org/W2088737880","https://openalex.org/W2770963585","https://openalex.org/W3150596671","https://openalex.org/W3157412811","https://openalex.org/W3156643091","https://openalex.org/W2772740774"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,24],"problem":[3],"of":[4,11,23],"learning":[5],"accurate":[6],"models":[7],"from":[8,17],"multiple":[9,18],"sources":[10,20],"nearby":[12],"data.":[13],"Given":[14],"distinct":[15],"samples":[16],"data":[19],"and":[21],"estimates":[22],"dissimilarities":[25],"between":[26],"these":[27],"sour...":[28]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
