{"id":"https://openalex.org/W2108745803","doi":null,"title":"Support Vector Machines for Multiple-Instance Learning","display_name":"Support Vector Machines for Multiple-Instance Learning","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2108745803","mag":"2108745803"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.8281","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.8281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://luthuli.cs.uiuc.edu/~daf/courses/Signals AI/Papers/MIL-CSP/MultipleInstanceLearning-Jan10-2003SVM.pdf","raw_type":"text"},"volume":null,"type":"article","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/A5103567346","display_name":"Stuart J. Andrews","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stuart Andrews","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081080355","display_name":"Ioannis Tsochantaridis","orcid":"https://orcid.org/0009-0008-1720-8787","observed_orcids":["https://orcid.org/0009-0008-1720-8787"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Tsochantaridis","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102981763","display_name":"Thomas Hofmann","orcid":"https://orcid.org/0000-0003-4057-7165","observed_orcids":["https://orcid.org/0000-0003-4057-7165","https://orcid.org/0009-0007-1270-7053","https://orcid.org/0000-0001-7798-9572"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Hofmann","raw_affiliation_strings":["Department of Computer Science, Brown University, Providence, RI,"],"raw_orcid":"https://orcid.org/0000-0003-4057-7165","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":7.7457,"has_fulltext":false,"cited_by_count":1404,"citation_normalized_percentile":{"value":0.9746558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"15","issue":null,"first_page":"577","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.6621000170707703,"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":0.6621000170707703,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.2320999950170517,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.02410000003874302,"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/multiple-instance-learning","display_name":"multiple instance learning","score":0.8650000095367432},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033},{"id":"https://openalex.org/keywords/mixed-integer-quadratic-programming","display_name":"mixed-integer quadratic programming","score":0.9810000061988831},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.6940000057220459},{"id":"https://openalex.org/keywords/nonlinear-classification","display_name":"nonlinear classification","score":0.8339999914169312},{"id":"https://openalex.org/keywords/document-classification","display_name":"document classification","score":0.9070000052452087},{"id":"https://openalex.org/keywords/pharmaceutical-data","display_name":"pharmaceutical data","score":0.8989999890327454}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8162543773651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798181533813477},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6763099431991577},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6504700779914856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137014627456665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6085924506187439},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5547458529472351},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5021402835845947},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.48764288425445557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4767364263534546},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4679364860057831},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.43843743205070496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4323016405105591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21733719110488892},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16010963916778564},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.8281","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.8281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://luthuli.cs.uiuc.edu/~daf/courses/Signals AI/Papers/MIL-CSP/MultipleInstanceLearning-Jan10-2003SVM.pdf","raw_type":"text"},{"id":"mag:2108745803","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"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":"Neural Information Processing Systems","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":12,"referenced_works":["https://openalex.org/W24402856","https://openalex.org/W1524408959","https://openalex.org/W1535599202","https://openalex.org/W1540386283","https://openalex.org/W1560724230","https://openalex.org/W1946852907","https://openalex.org/W2084165935","https://openalex.org/W2089933214","https://openalex.org/W2107008379","https://openalex.org/W2110119381","https://openalex.org/W2154318594","https://openalex.org/W2163474322"],"related_works":["https://openalex.org/W107569915","https://openalex.org/W2091428542","https://openalex.org/W2050243593","https://openalex.org/W2031264784","https://openalex.org/W7098518400","https://openalex.org/W7098541025","https://openalex.org/W172675048","https://openalex.org/W1964110922","https://openalex.org/W7097924676","https://openalex.org/W2771122515"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"two":[3],"new":[4],"formulations":[5],"of":[6,17,38],"multiple-instance":[7],"learning":[8,23],"as":[9],"a":[10,41,71],"maximum":[11],"margin":[12],"problem.":[13],"The":[14],"proposed":[15],"extensions":[16],"the":[18],"Support":[19],"Vector":[20],"Machine":[21],"(SVM)":[22],"approach":[24],"lead":[25],"to":[26,51,56],"mixed":[27],"integer":[28],"quadratic":[29],"programs":[30],"that":[31,54],"can":[32],"be":[33],"solved":[34],"heuristically.":[35],"Our":[36],"generalization":[37],"SVMs":[39],"makes":[40],"state-of-the-art":[42],"classification":[43,47],"technique,":[44],"including":[45],"non-linear":[46],"via":[48],"kernels,":[49],"available":[50],"an":[52],"area":[53],"up":[55],"now":[57],"has":[58],"been":[59],"largely":[60],"dominated":[61],"by":[62],"special":[63],"purpose":[64],"methods.":[65],"We":[66],"present":[67],"experimental":[68],"results":[69],"on":[70,76],"pharmaceutical":[72],"data":[73],"set":[74],"and":[75,82],"applications":[77],"in":[78],"automated":[79],"image":[80],"indexing":[81],"document":[83],"categorization.":[84],"1":[85]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":90},{"year":2019,"cited_by_count":89},{"year":2018,"cited_by_count":104},{"year":2017,"cited_by_count":109},{"year":2016,"cited_by_count":126},{"year":2015,"cited_by_count":106},{"year":2014,"cited_by_count":106},{"year":2013,"cited_by_count":111},{"year":2012,"cited_by_count":80}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}