{"id":"https://openalex.org/W2160457959","doi":"https://doi.org/10.1109/cec.2009.4983141","title":"Using over-sampling in a Bayesian classifier EDA to solve deceptive and hierarchical problems","display_name":"Using over-sampling in a Bayesian classifier EDA to solve deceptive and hierarchical problems","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2160457959","doi":"https://doi.org/10.1109/cec.2009.4983141","mag":"2160457959"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2009.4983141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","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/A5110117812","display_name":"David O. Wallin","orcid":null},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"David Wallin","raw_affiliation_strings":["CSIS Department, University of Limerick, Limerick, Ireland"],"affiliations":[{"raw_affiliation_string":"CSIS Department, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082264857","display_name":"Conor Ryan","orcid":"https://orcid.org/0000-0002-7002-5815"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Conor Ryan","raw_affiliation_strings":["CSIS Department, University of Limerick, Limerick, Ireland"],"affiliations":[{"raw_affiliation_string":"CSIS Department, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110117812"],"corresponding_institution_ids":["https://openalex.org/I230495080"],"apc_list":null,"apc_paid":null,"fwci":2.1809,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89737453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1498","issue":null,"first_page":"1660","last_page":"1667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987999796867371,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/truncation","display_name":"Truncation (statistics)","score":0.7360772490501404},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6163936257362366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5960322618484497},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5569359660148621},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5234443545341492},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49528661370277405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4691919982433319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4313738942146301},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4149405360221863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40985107421875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3408921957015991}],"concepts":[{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.7360772490501404},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6163936257362366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960322618484497},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5569359660148621},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5234443545341492},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49528661370277405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4691919982433319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4313738942146301},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4149405360221863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40985107421875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3408921957015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2009.4983141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1540706608","https://openalex.org/W1568742647","https://openalex.org/W1571077969","https://openalex.org/W1587104749","https://openalex.org/W1592665273","https://openalex.org/W1597878669","https://openalex.org/W1598151240","https://openalex.org/W1599653788","https://openalex.org/W1601564256","https://openalex.org/W1606791384","https://openalex.org/W1692958259","https://openalex.org/W1820538117","https://openalex.org/W1886554846","https://openalex.org/W1987440472","https://openalex.org/W2007959825","https://openalex.org/W2016562987","https://openalex.org/W2047565885","https://openalex.org/W2115947619","https://openalex.org/W2147409005","https://openalex.org/W2153459327","https://openalex.org/W2159586286","https://openalex.org/W2166210738","https://openalex.org/W3154803405","https://openalex.org/W3203913750","https://openalex.org/W6635920443","https://openalex.org/W6636219764","https://openalex.org/W6638493085","https://openalex.org/W6681842581","https://openalex.org/W7064552494"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W2042589464","https://openalex.org/W3158981924","https://openalex.org/W2078650164","https://openalex.org/W4252883813","https://openalex.org/W2089283247","https://openalex.org/W2346128247","https://openalex.org/W2158562798","https://openalex.org/W2473257596"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1],"based":[2],"on":[3],"probabilistic":[4],"modeling":[5],"is":[6],"a":[7,43,53,65,84],"growing":[8],"research":[9],"field.":[10],"Hybrids":[11],"that":[12,60,83],"borrow":[13],"ideas":[14],"from":[15,48],"the":[16,49,70,74,89],"field":[17],"of":[18,32,36,45,76],"classification":[19],"were":[20],"introduced.":[21],"We":[22,58],"extend":[23],"such":[24],"hybrids,":[25],"and":[26,82],"evaluate":[27],"four":[28],"strategies":[29,39],"for":[30],"truncation":[31,66,85],"an":[33],"over-sized":[34],"population":[35],"samples.":[37],"The":[38],"are":[40],"evaluated":[41],"over":[42],"number":[44,75],"difficult":[46],"problems":[47],"literature,":[50],"among":[51],"them,":[52],"hierarchical":[54],"256-bit":[55],"HIFF":[56],"problem.":[57],"show":[59],"over-sampling":[61],"in":[62],"conjunction":[63],"with":[64],"strategy":[67,86],"can":[68],"guide":[69],"search":[71],"without":[72],"increasing":[73],"performed":[77],"fitness":[78],"evaluations":[79],"per":[80],"generation,":[81],"which":[87],"inverses":[88],"sampling":[90],"pressure":[91],"can,":[92],"fitness-wise,":[93],"perform":[94],"significantly":[95],"better":[96],"than":[97],"regular":[98],"sampling.":[99]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}