{"id":"https://openalex.org/W2139709458","doi":"https://doi.org/10.1007/bf00116828","title":"Queries and Concept Learning","display_name":"Queries and Concept Learning","publication_year":1988,"publication_date":"1988-04-01","ids":{"openalex":"https://openalex.org/W2139709458","doi":"https://doi.org/10.1007/bf00116828","mag":"2139709458"},"language":"en","primary_location":{"id":"doi:10.1007/bf00116828","doi":"https://doi.org/10.1007/bf00116828","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00116828","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00116828.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"Machine Learning","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/BF00116828.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022630792","display_name":"Dana Angluin A","orcid":"https://orcid.org/0000-0002-6907-2999","observed_orcids":["https://orcid.org/0000-0002-6907-2999"]},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dana Angluin","raw_affiliation_strings":["Department of Computer Science, Yale University, P.O. Box 2158, 06520, New Haven, CT, U.S.A","Department of Computer Science, Yale University, P.O. Box 2158, New Haven, CT 06520, U.S.A. ANGLUIN@YALE.EDU#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, P.O. Box 2158, 06520, New Haven, CT, U.S.A","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Computer Science, Yale University, P.O. Box 2158, New Haven, CT 06520, U.S.A. ANGLUIN@YALE.EDU#TAB#","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022630792"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":34.0136,"has_fulltext":true,"cited_by_count":1934,"citation_normalized_percentile":{"value":0.9980315,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2","issue":"4","first_page":"319","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.6195999979972839,"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":0.6195999979972839,"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/T11567","display_name":"semigroups and automata theory","score":0.3091000020503998,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.05119999870657921,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/query-learning","display_name":"query learning","score":0.7509999871253967},{"id":"https://openalex.org/keywords/concept-learning","display_name":"concept learning","score":0.8999999761581421},{"id":"https://openalex.org/keywords/membership-queries","display_name":"membership queries","score":0.8320000171661377},{"id":"https://openalex.org/keywords/equivalence-queries","display_name":"equivalence queries","score":0.9990000128746033},{"id":"https://openalex.org/keywords/subset-queries","display_name":"subset queries","score":0.7889999747276306},{"id":"https://openalex.org/keywords/regular-languages","display_name":"regular languages","score":0.8240000009536743},{"id":"https://openalex.org/keywords/context-free-languages","display_name":"context-free languages","score":0.9990000128746033},{"id":"https://openalex.org/keywords/pattern-language","display_name":"pattern language","score":0.9929999709129333},{"id":"https://openalex.org/keywords/boolean-formulas","display_name":"Boolean formulas","score":0.9390000104904175},{"id":"https://openalex.org/keywords/lower-bounds","display_name":"lower bounds","score":0.8870000243186951},{"id":"https://openalex.org/keywords/pac-learning","display_name":"PAC learning","score":0.7590000033378601}],"concepts":[{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.6937777400016785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5224375128746033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.499133825302124},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4827967882156372},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4778040051460266},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41536980867385864},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.37812042236328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479236364364624},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/bf00116828","doi":"https://doi.org/10.1007/bf00116828","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00116828","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00116828.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"Machine Learning","raw_type":"journal-article"},{"id":"doi:10.1023/a:1022821128753","doi":"https://doi.org/10.1023/a:1022821128753","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1022821128753","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1022821128753.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/bf00116828","doi":"https://doi.org/10.1007/bf00116828","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bf00116828","pdf_url":"https://link.springer.com/content/pdf/10.1007/BF00116828.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.8100000023841858,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G7782561319","display_name":"Algorithms For Inductive Inference (Computer Research)","funder_award_id":"8404226","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/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2139709458.pdf","grobid_xml":"https://content.openalex.org/works/W2139709458.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W43951409","https://openalex.org/W193887220","https://openalex.org/W1514468887","https://openalex.org/W1547307547","https://openalex.org/W1603305011","https://openalex.org/W1766442844","https://openalex.org/W1965415591","https://openalex.org/W1979601782","https://openalex.org/W1989445634","https://openalex.org/W1994022788","https://openalex.org/W2004792300","https://openalex.org/W2015090599","https://openalex.org/W2019363670","https://openalex.org/W2022460695","https://openalex.org/W2060370563","https://openalex.org/W2061079066","https://openalex.org/W2066789935","https://openalex.org/W2068981034","https://openalex.org/W2087445078","https://openalex.org/W2091401625","https://openalex.org/W2107189314","https://openalex.org/W2117049614","https://openalex.org/W2129113961","https://openalex.org/W2154952480","https://openalex.org/W4238893454","https://openalex.org/W4246994868","https://openalex.org/W6636241634"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W623104033","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W4287830728","https://openalex.org/W2765200542","https://openalex.org/W2367893528"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":58},{"year":2021,"cited_by_count":67},{"year":2020,"cited_by_count":72},{"year":2019,"cited_by_count":92},{"year":2018,"cited_by_count":52},{"year":2017,"cited_by_count":75},{"year":2016,"cited_by_count":63},{"year":2015,"cited_by_count":53},{"year":2014,"cited_by_count":47},{"year":2013,"cited_by_count":67},{"year":2012,"cited_by_count":48}],"updated_date":"2026-10-18T09:31:52.927876","created_date":"2016-06-24T00:00:00"}