{"id":"https://openalex.org/W2008519116","doi":"https://doi.org/10.1145/1068009.1068307","title":"Preventing overfitting in GP with canary functions","display_name":"Preventing overfitting in GP with canary functions","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2008519116","doi":"https://doi.org/10.1145/1068009.1068307","mag":"2008519116"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and 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/A5024684000","display_name":"Nate Foreman","orcid":null},"institutions":[{"id":"https://openalex.org/I1297333082","display_name":"Altarum Institute","ror":"https://ror.org/01kq09n77","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297333082"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nate Foreman","raw_affiliation_strings":["Altarum Institute, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"Altarum Institute, Ann Arbor, MI","institution_ids":["https://openalex.org/I1297333082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082261290","display_name":"Matthew P. Evett","orcid":null},"institutions":[{"id":"https://openalex.org/I138216421","display_name":"Eastern Michigan University","ror":"https://ror.org/02ehshm78","country_code":"US","type":"education","lineage":["https://openalex.org/I138216421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Evett","raw_affiliation_strings":["Eastern Michigan University, Ypsilanti, MI"],"affiliations":[{"raw_affiliation_string":"Eastern Michigan University, Ypsilanti, MI","institution_ids":["https://openalex.org/I138216421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024684000"],"corresponding_institution_ids":["https://openalex.org/I1297333082"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.10623118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1779","last_page":"1780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9972000122070312,"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/T10320","display_name":"Neural Networks and Applications","score":0.9829000234603882,"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/overfitting","display_name":"Overfitting","score":0.9952648878097534},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.8445113301277161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167128324508667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7122845649719238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6926464438438416},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5888293385505676},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4812462031841278},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4456841051578522},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.43739140033721924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17968511581420898},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15933001041412354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07963579893112183}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9952648878097534},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8445113301277161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167128324508667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7122845649719238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6926464438438416},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5888293385505676},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4812462031841278},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4456841051578522},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43739140033721924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17968511581420898},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15933001041412354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07963579893112183},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1068009.1068307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.152.8223","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1779.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W145260474","https://openalex.org/W1516867764","https://openalex.org/W1576818901","https://openalex.org/W2016043834","https://openalex.org/W2058727381","https://openalex.org/W2155582960"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W1498076474","https://openalex.org/W2597297359","https://openalex.org/W1853197018","https://openalex.org/W2106367837","https://openalex.org/W2008519116","https://openalex.org/W2964514499","https://openalex.org/W2011209865","https://openalex.org/W2142032873"],"abstract_inverted_index":{"Overfitting":[0],"is":[1,53,77],"a":[2,23,39],"fundamental":[3],"problem":[4,75],"of":[5,50,65],"most":[6],"machine":[7],"learning":[8],"techniques,":[9],"including":[10],"genetic":[11],"programming":[12],"(GP).":[13],"Canary":[14],"functions":[15,45],"have":[16],"been":[17],"introduced":[18],"in":[19,86],"the":[20,59],"literature":[21],"as":[22],"concept":[24],"for":[25,42,69,82],"preventing":[26],"overfitting":[27,85],"by":[28,55],"automatically":[29],"recognizing":[30],"when":[31],"it":[32,57],"starts":[33],"to":[34,58,73],"occur.":[35],"This":[36],"paper":[37],"presents":[38],"simple":[40],"scheme":[41],"implementing":[43],"canary":[44],"using":[46],"cross-validation.":[47],"The":[48],"effectiveness":[49],"this":[51,71],"technique":[52,72],"demonstrated":[54],"applying":[56,70],"numeric":[60],"regression":[61],"problem.":[62],"A":[63],"list":[64],"conditions":[66],"and":[67],"criteria":[68],"other":[74],"domains":[76],"also":[78],"identified.":[79],"Other":[80],"strategies":[81],"dealing":[83],"with":[84],"GP":[87],"are":[88],"discussed.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
