{"id":"https://openalex.org/W2116285831","doi":"https://doi.org/10.1109/wsc.2003.1261466","title":"A simulation study on sampling and selecting under fixed computing budget","display_name":"A simulation study on sampling and selecting under fixed computing budget","publication_year":2004,"publication_date":"2004-05-13","ids":{"openalex":"https://openalex.org/W2116285831","doi":"https://doi.org/10.1109/wsc.2003.1261466","mag":"2116285831"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2003.1261466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5007751109","display_name":"Loo Hay Lee","orcid":"https://orcid.org/0000-0001-9359-0027"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Lo Hay Lee","raw_affiliation_strings":["Department of Industrial & Systems Engineering, National University of Singapore, Singapore, Singapore","Dept of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Dept of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077706028","display_name":"Ek Peng Chew","orcid":"https://orcid.org/0000-0001-6461-1634"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ek Peng Chew","raw_affiliation_strings":["Department of Industrial & Systems Engineering, National University of Singapore, Singapore, Singapore","Dept of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Dept of Ind. & Syst. Eng., Nat. Univ. of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007751109"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":4.5043,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94361621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"42","issue":null,"first_page":"535","last_page":"542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9998000264167786,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7650198936462402},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7272312641143799},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6169547438621521},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5737422704696655},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5632055401802063},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4682876467704773},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42449307441711426},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42344290018081665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20201712846755981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13839364051818848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11164531111717224},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07973060011863708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650198936462402},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7272312641143799},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6169547438621521},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5737422704696655},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5632055401802063},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4682876467704773},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42449307441711426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42344290018081665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20201712846755981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13839364051818848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11164531111717224},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07973060011863708},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2003.1261466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2003.1261466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/72256","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/72256","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1487332316","https://openalex.org/W1536615069","https://openalex.org/W2036502685","https://openalex.org/W2054222839","https://openalex.org/W2073262880","https://openalex.org/W2085300404","https://openalex.org/W2096024620","https://openalex.org/W2097416000","https://openalex.org/W2111827031","https://openalex.org/W2116667068","https://openalex.org/W3159825379","https://openalex.org/W4245293155","https://openalex.org/W6674624367"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W3013085049","https://openalex.org/W1560496689","https://openalex.org/W1992739770","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W4386900933","https://openalex.org/W2809151339","https://openalex.org/W2042102171"],"abstract_inverted_index":{"For":[0],"many":[1,30,119],"real":[2],"world":[3],"problems,":[4],"when":[5,92],"the":[6,21,38,68,71,75,78,83,86,93,108,112,124,135,138],"design":[7,45,148],"space":[8],"is":[9,17,25,89,95,100,126],"huge":[10],"and":[11,13,35,74,97],"unstructured":[12],"time":[14,145],"consuming":[15],"simulation":[16,39,64,144],"needed":[18],"to":[19,27,116,133,146],"estimate":[20],"performance":[22,72],"measure,":[23],"it":[24,88,129],"important":[26,132],"decide":[28],"how":[29,36,67],"designs":[31],"should":[32,40],"be":[33,41,115,131],"sampled":[34],"long":[37],"run":[42],"for":[43],"each":[44,147],"alternative":[46],"given":[47],"that":[48,91,104],"we":[49,61,105],"only":[50],"have":[51],"a":[52,63,101],"fixed":[53],"amount":[54],"of":[55,70,77,137],"computing":[56],"time.":[57],"In":[58],"this":[59],"paper,":[60],"present":[62],"study":[65],"on":[66],"distribution":[69,76],"measure":[73],"estimation":[79],"error/noise":[80],"will":[81,114,130],"affect":[82],"decision.":[84],"From":[85],"analysis,":[87],"observed":[90],"noise":[94,125,139],"bounded":[96],"if":[98,123],"there":[99],"high":[102],"chance":[103],"can":[106],"get":[107],"smallest":[109],"noise,":[110],"then":[111,128],"decision":[113],"sample":[117],"as":[118,120],"possible,":[121],"but":[122],"unbounded,":[127],"reduce":[134],"level":[136,140],"by":[141],"assigning":[142],"more":[143],"alternative.":[149]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}