{"id":"https://openalex.org/W4396830027","doi":"https://doi.org/10.1088/2632-2153/ad4a1e","title":"Incorporating background knowledge in symbolic regression using a computer algebra system","display_name":"Incorporating background knowledge in symbolic regression using a computer algebra system","publication_year":2024,"publication_date":"2024-05-11","ids":{"openalex":"https://openalex.org/W4396830027","doi":"https://doi.org/10.1088/2632-2153/ad4a1e"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad4a1e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4a1e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4a1e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4a1e/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072181180","display_name":"Charles W. Fox","orcid":"https://orcid.org/0000-0002-7545-7967"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Fox","raw_affiliation_strings":["Computer Science and Electrical Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Electrical Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020786309","display_name":"Neil D. Tran","orcid":"https://orcid.org/0000-0001-9033-1759"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil D Tran","raw_affiliation_strings":["Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES"],"raw_orcid":"https://orcid.org/0000-0001-9033-1759","affiliations":[{"raw_affiliation_string":"Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114159632","display_name":"F Nikki Nacion","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F Nikki Nacion","raw_affiliation_strings":["Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032383245","display_name":"Samiha Sharlin","orcid":"https://orcid.org/0000-0002-6379-9206"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samiha Sharlin","raw_affiliation_strings":["Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES"],"raw_orcid":"https://orcid.org/0000-0002-6379-9206","affiliations":[{"raw_affiliation_string":"Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072721027","display_name":"Tyler R. Josephson","orcid":"https://orcid.org/0000-0002-0100-0227"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler R Josephson","raw_affiliation_strings":["Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES"],"raw_orcid":"https://orcid.org/0000-0002-0100-0227","affiliations":[{"raw_affiliation_string":"Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, 21250, UNITED STATES","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.6109,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71751975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"025057","last_page":"025057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9959999918937683,"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":0.9959999918937683,"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":0.9897000193595886,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9754999876022339,"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/symbolic-computation","display_name":"Symbolic computation","score":0.6599438190460205},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5325139164924622},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.5033714175224304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.502669095993042},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.46631085872650146},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.458151251077652},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3325313627719879},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2975466847419739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2810434103012085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19494354724884033},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.14195623993873596}],"concepts":[{"id":"https://openalex.org/C110812573","wikidata":"https://www.wikidata.org/wiki/Q175515","display_name":"Symbolic computation","level":2,"score":0.6599438190460205},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5325139164924622},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.5033714175224304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.502669095993042},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.46631085872650146},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.458151251077652},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3325313627719879},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2975466847419739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2810434103012085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19494354724884033},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.14195623993873596},{"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/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2632-2153/ad4a1e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4a1e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4a1e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:mdsoar.org:11603/26900","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26900","pdf_url":"https://mdsoar.org/bitstreams/a151cf78-d56c-4597-b1ad-3b4fac11efe4/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d980d904a063401f973fcf4719f3b746","is_oa":true,"landing_page_url":"https://doaj.org/article/d980d904a063401f973fcf4719f3b746","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 2, p 025057 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad4a1e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4a1e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4a1e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2115452990","display_name":null,"funder_award_id":"2138938","funder_id":"https://openalex.org/F4320337390","funder_display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems"},{"id":"https://openalex.org/G3415034073","display_name":"ERI - Simulation methods for competitive adsorption in Bronsted acidic zeolites","funder_award_id":"2138938","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309204","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78"},{"id":"https://openalex.org/F4320337390","display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems","ror":"https://ror.org/0471zv972"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396830027.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W112245487","https://openalex.org/W1509600564","https://openalex.org/W1900349584","https://openalex.org/W1975320197","https://openalex.org/W1979769287","https://openalex.org/W1984953206","https://openalex.org/W1986113254","https://openalex.org/W1989602838","https://openalex.org/W1999832957","https://openalex.org/W2007913267","https://openalex.org/W2011254969","https://openalex.org/W2020043812","https://openalex.org/W2031380197","https://openalex.org/W2055552433","https://openalex.org/W2056419886","https://openalex.org/W2067794285","https://openalex.org/W2093941521","https://openalex.org/W2101225298","https://openalex.org/W2103687715","https://openalex.org/W2264689927","https://openalex.org/W2417863416","https://openalex.org/W2752698709","https://openalex.org/W2810294304","https://openalex.org/W2988142477","https://openalex.org/W3003690504","https://openalex.org/W3016401366","https://openalex.org/W3034933627","https://openalex.org/W3036548566","https://openalex.org/W3100511085","https://openalex.org/W3150767555","https://openalex.org/W3166656282","https://openalex.org/W3174204509","https://openalex.org/W3187574370","https://openalex.org/W3188127458","https://openalex.org/W3199208238","https://openalex.org/W3208302614","https://openalex.org/W4221034234","https://openalex.org/W4296612997","https://openalex.org/W4310079394","https://openalex.org/W4317746092","https://openalex.org/W4365145591","https://openalex.org/W4368303491","https://openalex.org/W4389566447","https://openalex.org/W6604576942","https://openalex.org/W6655350517","https://openalex.org/W6667930948","https://openalex.org/W6675160188","https://openalex.org/W6679413163","https://openalex.org/W6780561946","https://openalex.org/W6852384925","https://openalex.org/W6892430680"],"related_works":["https://openalex.org/W171076485","https://openalex.org/W190919245","https://openalex.org/W2188428054","https://openalex.org/W2076597547","https://openalex.org/W2133396672","https://openalex.org/W31220157","https://openalex.org/W4245291382","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2007616296"],"abstract_inverted_index":{"Abstract":[0],"Symbolic":[1],"regression":[2],"(SR)":[3],"can":[4,112,150],"generate":[5],"interpretable,":[6],"concise":[7],"expressions":[8,42],"that":[9,43],"fit":[10],"a":[11,74],"given":[12],"dataset,":[13],"allowing":[14],"for":[15,38],"more":[16],"human":[17],"understanding":[18],"of":[19,27,33,41,61,120,134,154],"the":[20,31,39,59,137,144,152,165,173,177],"structure":[21],"than":[22,170],"black-box":[23],"approaches.":[24],"The":[25],"addition":[26,60],"background":[28],"knowledge":[29],"(in":[30],"form":[32],"symbolic":[34],"mathematical":[35],"constraints)":[36],"allows":[37],"generation":[40],"are":[44],"meaningful":[45],"with":[46,54,126,143],"respect":[47],"to":[48,63,89,114],"theory":[49],"while":[50,100],"also":[51],"being":[52],"consistent":[53],"data.":[55],"We":[56,97,156],"specifically":[57],"examine":[58],"constraints":[62,102,111,138,160],"traditional":[64],"genetic":[65],"algorithm":[66],"(GA)":[67],"based":[68,79],"SR":[69,81,107,163],"(PySR)":[70],"as":[71,73],"well":[72,142],"Markov-chain":[75],"Monte":[76],"Carlo":[77],"(MCMC)":[78],"Bayesian":[80,162,166],"architecture":[82],"(Bayesian":[83],"Machine":[84],"Scientist),":[85],"and":[86,105,123],"apply":[87],"these":[88,159],"rediscovering":[90],"adsorption":[91],"equations":[92],"from":[93,108],"experimental,":[94],"historical":[95],"datasets.":[96],"find":[98,157],"that,":[99],"hard":[101],"prevent":[103],"GA":[104],"MCMC":[106],"searching,":[109],"soft":[110],"lead":[113],"improved":[115],"performance":[116],"both":[117],"in":[118,161,176],"terms":[119],"search":[121,153],"effectiveness":[122],"model":[124],"meaningfulness,":[125],"computational":[127],"costs":[128],"increasing":[129],"by":[130,171],"about":[131],"an":[132],"order":[133],"magnitude.":[135],"If":[136],"do":[139],"not":[140],"correlate":[141],"dataset":[145],"or":[146],"expected":[147],"models,":[148],"they":[149],"hinder":[151],"expressions.":[155],"incorporating":[158],"(as":[164],"prior)":[167],"is":[168],"better":[169],"modifying":[172],"fitness":[174],"function":[175],"GA.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}