{"id":"https://openalex.org/W3094109603","doi":"https://doi.org/10.1162/neco_a_01332","title":"Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions","display_name":"Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions","publication_year":2020,"publication_date":"2020-10-20","ids":{"openalex":"https://openalex.org/W3094109603","doi":"https://doi.org/10.1162/neco_a_01332","mag":"3094109603","pmid":"https://pubmed.ncbi.nlm.nih.gov/33080163"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01332","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01332","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101792617","display_name":"I. Yu","orcid":"https://orcid.org/0000-0001-5655-2558"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yu Inatsu","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003668143","display_name":"Masayuki Karasuyama","orcid":"https://orcid.org/0000-0002-6177-3686"},"institutions":[{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210086780"]},{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]},{"id":"https://openalex.org/I205401836","display_name":"National Institute for Materials Science","ror":"https://ror.org/026v1ze26","country_code":"JP","type":"facility","lineage":["https://openalex.org/I205401836"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masayuki Karasuyama","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan; JST, PRESTO, Kawaguchi, Saitama, 332-0012, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0047, Japan","JST, PRESTO, Kawaguchi, Saitama, 332-0012, Japan","Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan; JST, PRESTO, Kawaguchi, Saitama, 332-0012, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0047, Japan","institution_ids":["https://openalex.org/I205401836","https://openalex.org/I197274945"]},{"raw_affiliation_string":"JST, PRESTO, Kawaguchi, Saitama, 332-0012, Japan","institution_ids":["https://openalex.org/I4210086780"]},{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010904358","display_name":"Keiichi Inoue","orcid":"https://orcid.org/0000-0002-7101-486X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiichi Inoue","raw_affiliation_strings":["Institute for Solid State Physics, University of Tokyo, Kashiwa, Chiba, 277-8561, Japan"],"affiliations":[{"raw_affiliation_string":"Institute for Solid State Physics, University of Tokyo, Kashiwa, Chiba, 277-8561, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081482638","display_name":"Ichiro Takeuchi","orcid":"https://orcid.org/0000-0002-1366-1946"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]},{"id":"https://openalex.org/I205401836","display_name":"National Institute for Materials Science","ror":"https://ror.org/026v1ze26","country_code":"JP","type":"facility","lineage":["https://openalex.org/I205401836"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ichiro Takeuchi","raw_affiliation_strings":["RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan; Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0047, Japan","Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan","RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan; Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan; and Center for Materials Research by Information Integration, National Institute for Material Science, Sengen, Tsukuba, Ibaraki, 305-0047, Japan","institution_ids":["https://openalex.org/I205401836","https://openalex.org/I197274945"]},{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Aichi, 466-8555, Japan","institution_ids":["https://openalex.org/I197274945"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligent Project, Chuo-ku, Tokyo, 103-0027, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003668143","https://openalex.org/A5010904358","https://openalex.org/A5081482638","https://openalex.org/A5101792617"],"corresponding_institution_ids":["https://openalex.org/I197274945","https://openalex.org/I205401836","https://openalex.org/I4210086780","https://openalex.org/I4210126580","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6927968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":"12","first_page":"2486","last_page":"2531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.998199999332428,"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":0.998199999332428,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9596999883651733,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5919245481491089},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5710325241088867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49428868293762207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4931597113609314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4267193377017975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4265861213207245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.402663916349411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3253212571144104}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5919245481491089},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5710325241088867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49428868293762207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4931597113609314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4267193377017975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4265861213207245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.402663916349411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3253212571144104},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_01332","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_01332","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:33080163","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33080163","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1139015881","https://openalex.org/W2004808074","https://openalex.org/W2037430361","https://openalex.org/W2096642565","https://openalex.org/W2110720940","https://openalex.org/W2192203593","https://openalex.org/W2559655401","https://openalex.org/W2559997609","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W2617704515","https://openalex.org/W2804190906","https://openalex.org/W2897582000","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W3049180471","https://openalex.org/W4211049957","https://openalex.org/W4212863985","https://openalex.org/W4249446031"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W2961085424","https://openalex.org/W4383503847","https://openalex.org/W2391251536"],"abstract_inverted_index":{"Testing":[0],"under":[1,103,144],"what":[2],"conditions":[3,97],"a":[4,11,33,64,108,137],"product":[5],"satisfies":[6],"the":[7,18,21,27,30,42,49,57,92,95,158],"desired":[8],"properties":[9],"is":[10,60],"fundamental":[12],"problem":[13,43,50],"in":[14,115],"manufacturing":[15],"industry.":[16],"If":[17],"condition":[19],"and":[20,29,118,130,152,163,170],"property":[22],"are":[23],"respectively":[24],"regarded":[25],"as":[26,41,148],"input":[28,53,96,104,113,145,150,154],"output":[31],"of":[32,51,87,139],"black-box":[34],"function,":[35],"this":[36],"task":[37],"can":[38,132],"be":[39,79,99,133],"interpreted":[40],"called":[44],"level":[45],"set":[46],"estimation":[47],"(LSE):":[48],"identifying":[52],"regions":[54],"such":[55,88,147],"that":[56],"function":[58],"value":[59],"above":[61],"(or":[62],"below)":[63],"threshold.":[65],"Although":[66],"various":[67],"methods":[68,122,129,160],"for":[69,81,111],"LSE":[70,116,143],"problems":[71,102,117],"have":[72],"been":[73],"developed,":[74],"many":[75],"issues":[76],"remain":[77],"to":[78,136,142,161,166],"solved":[80],"their":[82,168],"practical":[83],"use.":[84],"As":[85],"one":[86],"issues,":[89],"we":[90],"consider":[91],"case":[93],"where":[94],"cannot":[98],"controlled":[100],"precisely-LSE":[101],"uncertainty.":[105],"We":[106,156],"introduce":[107],"basic":[109],"framework":[110],"handling":[112],"uncertainty":[114,146],"then":[119],"propose":[120],"efficient":[121],"with":[123],"proper":[124],"theoretical":[125],"guarantees.":[126],"The":[127],"proposed":[128,159],"theories":[131],"generally":[134],"applied":[135],"variety":[138],"challenges":[140],"related":[141],"cost-dependent":[149],"uncertainties":[151],"unknown":[153],"uncertainties.":[155],"apply":[157],"artificial":[162],"real":[164],"data":[165],"demonstrate":[167],"applicability":[169],"effectiveness.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
