{"id":"https://openalex.org/W2010019098","doi":"https://doi.org/10.1109/cec.2014.6900567","title":"Ensemble Bayesian Model Averaging in Genetic Programming","display_name":"Ensemble Bayesian Model Averaging in Genetic Programming","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2010019098","doi":"https://doi.org/10.1109/cec.2014.6900567","mag":"2010019098"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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/A5069334140","display_name":"Alexandros Agapitos","orcid":"https://orcid.org/0000-0001-7529-681X"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Alexandros Agapitos","raw_affiliation_strings":["University College Dublin, School of Computer Science and Informatics, Ireland","Complex & Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"University College Dublin, School of Computer Science and Informatics, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Complex & Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001619292","display_name":"Michael O\u2019Neill","orcid":"https://orcid.org/0000-0001-8734-417X"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Michael O'Neill","raw_affiliation_strings":["University College Dublin, School of Computer Science and Informatics, Ireland","Complex & Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"University College Dublin, School of Computer Science and Informatics, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Complex & Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045190581","display_name":"Anthony Brabazon","orcid":"https://orcid.org/0000-0001-8070-294X"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I3289505","display_name":"Dublin Business School","ror":"https://ror.org/051dggm19","country_code":"IE","type":"education","lineage":["https://openalex.org/I3289505"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Anthony Brabazon","raw_affiliation_strings":["University College Dublin, School Of Business, Ireland","School of Business University College Dublin Ireland"],"affiliations":[{"raw_affiliation_string":"University College Dublin, School Of Business, Ireland","institution_ids":["https://openalex.org/I100930933","https://openalex.org/I3289505"]},{"raw_affiliation_string":"School of Business University College Dublin Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069334140"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8011294,"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":"2451","last_page":"2458"},"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":0.9986000061035156,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6438291072845459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6433185338973999},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5849955677986145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5415575504302979},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5346860885620117},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5315204858779907},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5254629850387573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49434828758239746},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.47180142998695374},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4629982113838196},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45579656958580017},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4287121593952179},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4193560481071472},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4104539453983307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3565252125263214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2763195037841797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27043092250823975}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6438291072845459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433185338973999},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5849955677986145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5415575504302979},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5346860885620117},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5315204858779907},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5254629850387573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49434828758239746},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.47180142998695374},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4629982113838196},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45579656958580017},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4287121593952179},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4193560481071472},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4104539453983307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3565252125263214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2763195037841797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27043092250823975},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1459599406","https://openalex.org/W1483736078","https://openalex.org/W1502295094","https://openalex.org/W1521513558","https://openalex.org/W1525642843","https://openalex.org/W1533243157","https://openalex.org/W1562197959","https://openalex.org/W1583742283","https://openalex.org/W1593492645","https://openalex.org/W2006033595","https://openalex.org/W2016409481","https://openalex.org/W2035035907","https://openalex.org/W2049783455","https://openalex.org/W2070033304","https://openalex.org/W2070867367","https://openalex.org/W2078885513","https://openalex.org/W2084288340","https://openalex.org/W2113192631","https://openalex.org/W2121664198","https://openalex.org/W2123387822","https://openalex.org/W2124868070","https://openalex.org/W2130774030","https://openalex.org/W2145833756","https://openalex.org/W2148387711","https://openalex.org/W2149654162","https://openalex.org/W2150001682","https://openalex.org/W2150884987","https://openalex.org/W2158441306","https://openalex.org/W2158840489","https://openalex.org/W2158934641","https://openalex.org/W2319803923","https://openalex.org/W2503216932","https://openalex.org/W3004732066","https://openalex.org/W4212883601","https://openalex.org/W4256678040","https://openalex.org/W4298304654","https://openalex.org/W6628785978","https://openalex.org/W6630135907","https://openalex.org/W6631567238","https://openalex.org/W6633883679","https://openalex.org/W6668143306","https://openalex.org/W6681815493","https://openalex.org/W6683036876","https://openalex.org/W6724168657"],"related_works":["https://openalex.org/W2968285896","https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W2610450612","https://openalex.org/W2549153708","https://openalex.org/W2897801744","https://openalex.org/W2147355282","https://openalex.org/W2394133867","https://openalex.org/W1662819506"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"considers":[2],"the":[3,29,34,39,104,122,130,145,149,152,156,160],"general":[4],"problem":[5],"of":[6,22,50,66,73,85,102,110,118,125,132,138,148,170],"function":[7,108],"estimation":[8],"via":[9],"Genetic":[10],"Programming":[11],"(GP).":[12],"Data":[13],"analysts":[14],"typically":[15],"select":[16],"a":[17,20,54,63,71,77,83,111,115,168],"model":[18,31,42,186],"from":[19],"population":[21,72,84],"models,":[23],"and":[24,48,154,175],"then":[25],"proceed":[26],"as":[27,188,190],"if":[28],"selected":[30],"had":[32],"generated":[33],"data.":[35],"approach":[37],"ignores":[38],"uncertainty":[40,61],"in":[41,70,195],"selection,":[43,187],"leading":[44],"to":[45,144,167],"over-confident":[46],"inferences":[47],"lack":[49],"generalisation.":[51],"We":[52],"adopt":[53],"coherent":[55],"method":[56,80,164],"for":[57,59,81,185,192],"accounting":[58],"this":[60],"through":[62],"weighted":[64,116],"averaging":[65],"all":[67],"models":[68,127,150],"competing":[69],"GP.":[74,196],"It":[75],"is":[76,91,114],"principled":[78],"statistical":[79],"postprocessing":[82],"programs":[86,135],"into":[87],"an":[88],"ensemble,":[89],"which":[90],"based":[92],"on":[93,159],"Bayesian":[94],"Model":[95],"Averaging":[96],"(BMA).":[97],"Under":[98],"two":[99],"different":[100],"formulations":[101],"BMA,":[103],"predictive":[105],"probability":[106],"density":[107],"(PDF)":[109],"response":[112],"variable":[113],"average":[117],"PDFs":[119],"centered":[120],"around":[121],"individual":[123],"predictions":[124],"component":[126],"that":[128,178],"take":[129],"form":[131],"either":[133],"standalone":[134],"or":[136],"ensembles":[137],"programs.":[139],"The":[140,163],"weights":[141],"are":[142],"equal":[143],"posterior":[146],"probabilities":[147],"generating":[151],"predictions,":[153],"reflect":[155],"models'":[157],"skill":[158],"training":[161],"dataset.":[162],"was":[165],"applied":[166],"number":[169],"synthetic":[171],"symbolic":[172],"regression":[173],"problems,":[174],"results":[176],"demonstrate":[177],"it":[179],"generalises":[180],"better":[181],"than":[182],"standard":[183],"methods":[184,191],"well":[189],"ensemble":[193],"construction":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
