{"id":"https://openalex.org/W2166451985","doi":null,"title":"Efficient Semi-supervised and Active Learning of Disjunctions","display_name":"Efficient Semi-supervised and Active Learning of Disjunctions","publication_year":2013,"publication_date":"2013-06-16","ids":{"openalex":"https://openalex.org/W2166451985","mag":"2166451985"},"language":"en","primary_location":{"id":"mag:2166451985","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v28/balcan13.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5063374771","display_name":"Nina Balcan","orcid":null,"observed_orcids":[]},"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":"Nina Balcan","raw_affiliation_strings":["School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078065195","display_name":"Christopher G. Berlind","orcid":null,"observed_orcids":[]},"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":"Christopher G. Berlind","raw_affiliation_strings":["School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036293498","display_name":"Steven Ehrlich","orcid":null,"observed_orcids":[]},"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":"Steven Ehrlich","raw_affiliation_strings":["School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035905957","display_name":"Yingyu Liang","orcid":"https://orcid.org/0000-0002-3644-774X","observed_orcids":["https://orcid.org/0000-0002-3644-774X"]},"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":"Yingyu Liang","raw_affiliation_strings":["School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, College of Computing; Georgia Institute of Technology; Atlanta GA USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.9056,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6997474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"633","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0,"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":0.0,"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/disjunction","display_name":"disjunction","score":0.871999979019165},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9549999833106995},{"id":"https://openalex.org/keywords/active-learning-machine-learning","display_name":"active learning (machine learning)","score":0.9990000128746033},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"sample complexity","score":0.9129999876022339},{"id":"https://openalex.org/keywords/regularity-conditions","display_name":"regularity conditions","score":0.6140000224113464},{"id":"https://openalex.org/keywords/pac-learning","display_name":"PAC learning","score":0.34700000286102295}],"concepts":[{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.8503328561782837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822758078575134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5709956288337708},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5243856310844421},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5028016567230225},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.48877283930778503},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.47944679856300354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4719720780849457},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44383111596107483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4106099605560303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35423845052719116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3220289945602417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0989222526550293},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2166451985","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v28/balcan13.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W53630002","https://openalex.org/W118545087","https://openalex.org/W1479807131","https://openalex.org/W1480930109","https://openalex.org/W1560143607","https://openalex.org/W1572210044","https://openalex.org/W1572372689","https://openalex.org/W1607677747","https://openalex.org/W1680797894","https://openalex.org/W1822246767","https://openalex.org/W2040870580","https://openalex.org/W2048679005","https://openalex.org/W2069735839","https://openalex.org/W2107008379","https://openalex.org/W2114232233","https://openalex.org/W2115404432","https://openalex.org/W2117756453","https://openalex.org/W2129113961","https://openalex.org/W2139823104","https://openalex.org/W2140076625","https://openalex.org/W2157958821","https://openalex.org/W2184987264","https://openalex.org/W2613634003","https://openalex.org/W2914331073"],"related_works":["https://openalex.org/W128930574","https://openalex.org/W6908366755","https://openalex.org/W1492505081","https://openalex.org/W7096682320","https://openalex.org/W2117707988","https://openalex.org/W2999232157","https://openalex.org/W2579857932","https://openalex.org/W7095827832","https://openalex.org/W3117722141","https://openalex.org/W1872991507"],"abstract_inverted_index":{"We":[0,22,40],"provide":[1],"efficient":[2],"algorithms":[3,31,55],"for":[4],"learning":[5,45],"disjunctions":[6],"in":[7],"the":[8,26,37,57],"semi-supervised":[9],"setting":[10],"under":[11,32],"a":[12,33],"natural":[13],"regularity":[14],"assumption":[15],"introduced":[16],"by":[17],"(Balcan":[18],"&":[19],"Blum,":[20],"2005).":[21],"prove":[23],"bounds":[24],"on":[25,36],"sample":[27,49],"complexity":[28,50],"of":[29],"our":[30,54],"mild":[34],"restriction":[35],"data":[38],"distribution.":[39],"also":[41],"give":[42],"an":[43],"active":[44],"algorithm":[46],"with":[47],"improved":[48],"and":[51],"extend":[52],"all":[53],"to":[56],"random":[58],"classification":[59],"noise":[60],"setting.":[61]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-10-03T13:16:28.481748","created_date":"2016-06-24T00:00:00"}