{"id":"https://openalex.org/W2132948751","doi":null,"title":"Active Instance Sampling via Matrix Partition","display_name":"Active Instance Sampling via Matrix Partition","publication_year":2010,"publication_date":"2010-12-06","ids":{"openalex":"https://openalex.org/W2132948751","mag":"2132948751"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.185.1185","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips23/NIPS2010_0613.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/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X","observed_orcids":["https://orcid.org/0000-0002-7621-342X"]},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University Philadelphia, PA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University Philadelphia, PA#TAB#","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043824291"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":3.9263,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.93402257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"23","issue":null,"first_page":"802","last_page":"810"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","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/batch-mode-active-learning","display_name":"batch mode active learning","score":0.9769999980926514},{"id":"https://openalex.org/keywords/instance-selection","display_name":"instance selection","score":0.7549999952316284},{"id":"https://openalex.org/keywords/mutual-information","display_name":"mutual information","score":0.7390000224113464},{"id":"https://openalex.org/keywords/matrix-partitions","display_name":"matrix partitions","score":0.8669999837875366},{"id":"https://openalex.org/keywords/gaussian-processes","display_name":"Gaussian processes","score":0.949999988079071},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"combinatorial optimization","score":0.6980000138282776},{"id":"https://openalex.org/keywords/local-optimization","display_name":"local optimization","score":0.5839999914169312},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6708336472511292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450262069702148},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.5479401350021362},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5237398147583008},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5102481842041016},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.46866878867149353},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4647362232208252},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44028806686401367},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4364573657512665},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4347922205924988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40600407123565674},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3984309136867523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32481300830841064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3130892813205719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2529536485671997},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.185.1185","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://books.nips.cc/papers/files/nips23/NIPS2010_0613.pdf","raw_type":"text"},{"id":"mag:2132948751","doi":null,"is_oa":false,"landing_page_url":"http://books.nips.cc/papers/files/nips23/NIPS2010_0613.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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W120286951","https://openalex.org/W1514940655","https://openalex.org/W1599935123","https://openalex.org/W1746819321","https://openalex.org/W1845402413","https://openalex.org/W1993202648","https://openalex.org/W1999824796","https://openalex.org/W2099111195","https://openalex.org/W2104848109","https://openalex.org/W2109059049","https://openalex.org/W2114188922","https://openalex.org/W2137795521","https://openalex.org/W2148134592","https://openalex.org/W2296319761","https://openalex.org/W2903158431"],"related_works":["https://openalex.org/W2137795521","https://openalex.org/W2006484294","https://openalex.org/W2069449019","https://openalex.org/W2617480800","https://openalex.org/W2104848109","https://openalex.org/W2273048275","https://openalex.org/W2021732807","https://openalex.org/W120286951","https://openalex.org/W1991234467","https://openalex.org/W2139238311"],"abstract_inverted_index":{"Recently,":[0],"batch-mode":[1,17,121],"active":[2,18,98,122],"learning":[3,19,99,123],"has":[4],"attracted":[5],"a":[6,15,23,32,45,60,76,91],"lot":[7],"of":[8,25,103],"attention.":[9],"In":[10],"this":[11,49,111],"paper,":[12],"we":[13,73],"propose":[14],"novel":[16],"approach":[20,100,112],"that":[21,75],"selects":[22],"batch":[24],"queries":[26],"in":[27],"each":[28],"iteration":[29],"by":[30,83],"maximizing":[31],"natural":[33],"mutual":[34,50],"information":[35,51],"criterion":[36],"between":[37],"the":[38],"labeled":[39],"and":[40],"unlabeled":[41],"instances.":[42],"By":[43],"employing":[44],"Gaussian":[46],"process":[47],"framework,":[48],"based":[52],"instance":[53],"selection":[54],"problem":[55],"can":[56,80,113],"be":[57,81],"formulated":[58],"as":[59],"matrix":[61,65],"partition":[62,66],"problem.":[63,95],"Although":[64],"is":[67,101],"an":[68,85],"NP-hard":[69],"combinatorial":[70],"optimization":[71,88,94],"problem,":[72],"show":[74,110],"good":[77],"local":[78,87],"solution":[79],"obtained":[82],"exploiting":[84],"effective":[86],"technique":[89],"on":[90],"relaxed":[92],"continuous":[93],"The":[96],"proposed":[97],"independent":[102],"employed":[104],"classification":[105],"models.":[106],"Our":[107],"empirical":[108],"studies":[109],"achieve":[114],"comparable":[115],"or":[116],"superior":[117],"performance":[118],"to":[119],"discriminative":[120],"methods.":[124],"1":[125]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
