{"id":"https://openalex.org/W4379466550","doi":"https://doi.org/10.1145/3583133.3596327","title":"Priors for symbolic regression","display_name":"Priors for symbolic regression","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4379466550","doi":"https://doi.org/10.1145/3583133.3596327"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596327","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596327","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596327","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596327","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062077005","display_name":"Deaglan J. Bartlett","orcid":"https://orcid.org/0000-0001-9426-7723"},"institutions":[{"id":"https://openalex.org/I2801766991","display_name":"Institut d'Astrophysique de Paris","ror":"https://ror.org/022bnxw24","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2801766991","https://openalex.org/I39804081","https://openalex.org/I4210148025"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Deaglan Bartlett","raw_affiliation_strings":["Institut d'Astrophysique de Paris, Paris, France"],"raw_orcid":"https://orcid.org/0000-0001-9426-7723","affiliations":[{"raw_affiliation_string":"Institut d'Astrophysique de Paris, Paris, France","institution_ids":["https://openalex.org/I2801766991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065060439","display_name":"Harry Desmond","orcid":"https://orcid.org/0000-0003-0685-9791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harry Desmond","raw_affiliation_strings":["Institute of Cosmology & Gravitation, Portsmouth, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-0685-9791","affiliations":[{"raw_affiliation_string":"Institute of Cosmology & Gravitation, Portsmouth, United Kingdom","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710008","display_name":"Pedro G. Ferreira","orcid":"https://orcid.org/0000-0002-3021-2851"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pedro Ferreira","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3021-2851","affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8237,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92351734,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2402","last_page":"2411"},"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":0.9962999820709229,"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":0.9550999999046326,"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/prior-probability","display_name":"Prior probability","score":0.8528680205345154},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.6299037933349609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5924685597419739},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5232211947441101},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4461395740509033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41988301277160645},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.415094256401062},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.4111776053905487},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.40924155712127686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3854830861091614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.385470449924469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3640751242637634}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8528680205345154},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.6299037933349609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5924685597419739},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5232211947441101},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4461395740509033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41988301277160645},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.415094256401062},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.4111776053905487},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.40924155712127686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3854830861091614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.385470449924469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3640751242637634},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3596327","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596327","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596327","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583133.3596327","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596327","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596327","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1488328576","display_name":null,"funder_award_id":"211046","funder_id":"https://openalex.org/F4320334632","funder_display_name":"Science and Technology Facilities Council"},{"id":"https://openalex.org/G4239025385","display_name":null,"funder_award_id":"ST/W000903/1","funder_id":"https://openalex.org/F4320334632","funder_display_name":"Science and Technology Facilities Council"},{"id":"https://openalex.org/G4496753055","display_name":null,"funder_award_id":"211046","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G8327128795","display_name":null,"funder_award_id":"693024","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320334632","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379466550.pdf","grobid_xml":"https://content.openalex.org/works/W4379466550.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W42051514","https://openalex.org/W69468016","https://openalex.org/W121066256","https://openalex.org/W170307911","https://openalex.org/W175031066","https://openalex.org/W178471156","https://openalex.org/W199024138","https://openalex.org/W1540440128","https://openalex.org/W1544329015","https://openalex.org/W1974805999","https://openalex.org/W2001771035","https://openalex.org/W2006681603","https://openalex.org/W2054658115","https://openalex.org/W2061011797","https://openalex.org/W2063918473","https://openalex.org/W2082092506","https://openalex.org/W2084288340","https://openalex.org/W2099111195","https://openalex.org/W2101122849","https://openalex.org/W2106596127","https://openalex.org/W2121162457","https://openalex.org/W2134237567","https://openalex.org/W2142405592","https://openalex.org/W2168175751","https://openalex.org/W2180134060","https://openalex.org/W2417863416","https://openalex.org/W2552720424","https://openalex.org/W2564770876","https://openalex.org/W2995359496","https://openalex.org/W3003690504","https://openalex.org/W3016401366","https://openalex.org/W3023540311","https://openalex.org/W3042621157","https://openalex.org/W3157497780","https://openalex.org/W3175526646","https://openalex.org/W4224611958","https://openalex.org/W4226117689","https://openalex.org/W4281742658","https://openalex.org/W4285805320","https://openalex.org/W4285805396","https://openalex.org/W4286702585","https://openalex.org/W4308599621","https://openalex.org/W4308611018","https://openalex.org/W4309803868","https://openalex.org/W4312562922","https://openalex.org/W4319165734","https://openalex.org/W4323050423","https://openalex.org/W4324296987","https://openalex.org/W6814006239","https://openalex.org/W6893832806"],"related_works":["https://openalex.org/W4235847508","https://openalex.org/W1991984435","https://openalex.org/W2948401447","https://openalex.org/W2025014919","https://openalex.org/W3125503411","https://openalex.org/W2343819364","https://openalex.org/W2536583867","https://openalex.org/W4388289949","https://openalex.org/W2046798682","https://openalex.org/W2133205540"],"abstract_inverted_index":{"When":[0],"choosing":[1],"between":[2],"competing":[3],"symbolic":[4,46],"models":[5,127],"for":[6,146],"a":[7,10,29,34,45,75,80,109,124,163],"data":[8],"set,":[9],"human":[11],"will":[12],"naturally":[13],"prefer":[14],"the":[15,19,72,88,99,113,133,151,167],"\"simpler\"":[16],"expression":[17],"or":[18],"one":[20,94],"which":[21,39,84],"more":[22],"closely":[23],"resembles":[24],"equations":[25],"previously":[26],"seen":[27],"in":[28,96,122],"similar":[30],"context.":[31],"This":[32],"suggests":[33],"non-uniform":[35],"prior":[36,59,70],"on":[37,61,71,79,112,160],"functions,":[38],"is,":[40],"however,":[41],"rarely":[42],"considered":[43],"within":[44],"regression":[47],"(SR)":[48],"framework.":[49],"In":[50],"this":[51],"paper":[52],"we":[53],"develop":[54,108],"methods":[55,145],"to":[56,87,93,98,117,157],"incorporate":[57],"detailed":[58],"information":[60],"both":[62],"functions":[63],"and":[64,136,143,162],"their":[65],"parameters":[66],"into":[67],"SR.":[68],"Our":[69],"structure":[73],"of":[74,90,101,103,153,169],"function":[76],"is":[77,85],"based":[78,111],"n-gram":[81],"language":[82],"model,":[83],"sensitive":[86],"arrangement":[89],"operators":[91],"relative":[92,156],"another":[95],"addition":[97],"frequency":[100],"occurrence":[102],"each":[104],"operator.":[105],"We":[106,149],"also":[107],"formalism":[110],"Fractional":[114],"Bayes":[115],"Factor":[116],"treat":[118],"numerical":[119],"parameter":[120],"priors":[121,155],"such":[123],"way":[125],"that":[126],"may":[128],"be":[129],"fairly":[130],"compared":[131],"though":[132],"Bayesian":[134],"evidence,":[135],"explicitly":[137],"compare":[138],"Bayesian,":[139],"Minimum":[140],"Description":[141],"Length":[142],"heuristic":[144],"model":[147],"selection.":[148],"demonstrate":[150],"performance":[152],"our":[154],"literature":[158],"standards":[159],"benchmarks":[161],"real-world":[164],"dataset":[165],"from":[166],"field":[168],"cosmology.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}