{"id":"https://openalex.org/W2036161258","doi":"https://doi.org/10.1145/1274000.1274066","title":"Bayesian estimation of rule accuracy in UCS","display_name":"Bayesian estimation of rule accuracy in UCS","publication_year":2007,"publication_date":"2007-07-07","ids":{"openalex":"https://openalex.org/W2036161258","doi":"https://doi.org/10.1145/1274000.1274066","mag":"2036161258"},"language":"en","primary_location":{"id":"doi:10.1145/1274000.1274066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1274000.1274066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th annual conference companion 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/A5010593676","display_name":"James A. R. Marshall","orcid":"https://orcid.org/0000-0002-1506-167X"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James A. R. Marshall","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom","University of Bristol , Bristol , United Kingdom ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol , Bristol , United Kingdom ,","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091107483","display_name":"Gavin Brown","orcid":"https://orcid.org/0000-0003-2261-9018"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gavin Brown","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom","University of Manchester, MANCHESTER, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"University of Manchester, MANCHESTER, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035445712","display_name":"Tim Kovacs","orcid":"https://orcid.org/0000-0002-9492-5834"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tim Kovacs","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom","University of Bristol , Bristol , United Kingdom ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"University of Bristol , Bristol , United Kingdom ,","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9376,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88005919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"2831","last_page":"2834"},"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":0.9951000213623047,"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":0.9164000153541565,"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/discounting","display_name":"Discounting","score":0.7843959927558899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868085861206055},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6720513701438904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.601750373840332},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5586345791816711},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5517489910125732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469402074813843},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.47905170917510986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47677141427993774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4091147482395172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09373268485069275}],"concepts":[{"id":"https://openalex.org/C6177178","wikidata":"https://www.wikidata.org/wiki/Q10998070","display_name":"Discounting","level":2,"score":0.7843959927558899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868085861206055},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6720513701438904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.601750373840332},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5586345791816711},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5517489910125732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469402074813843},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.47905170917510986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47677141427993774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4091147482395172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09373268485069275},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1274000.1274066","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1274000.1274066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.148.1660","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.1660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bris.ac.uk/Publications/Papers/2000697.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.421.3873","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.3873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.york.ac.uk/rts/docs/GECCO_2007/docs/p2831.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1521245939","https://openalex.org/W2047299880","https://openalex.org/W2052153221","https://openalex.org/W2098888151","https://openalex.org/W6663399104","https://openalex.org/W6738852829"],"related_works":["https://openalex.org/W2348852664","https://openalex.org/W4206316684","https://openalex.org/W4311335936","https://openalex.org/W1515431846","https://openalex.org/W2995710178","https://openalex.org/W1497199515","https://openalex.org/W180428816","https://openalex.org/W4387882580","https://openalex.org/W4386870803","https://openalex.org/W2494916313"],"abstract_inverted_index":{"Learning":[0],"Classifier":[1],"Systems":[2],"differ":[3],"from":[4,74],"many":[5],"other":[6,133],"classification":[7],"techniques,":[8],"in":[9],"that":[10,36,81],"new":[11],"rules":[12],"are":[13,37],"constantly":[14],"discovered":[15],"and":[16,67,102,126],"evaluated.":[17],"This":[18],"feature":[19],"of":[20,33,44,55,72,84,97,100,129,135],"LCS":[21],"gives":[22],"rise":[23],"to":[24,29,40,64,116,120],"an":[25],"important":[26,95],"problem,":[27,66],"how":[28,119],"deal":[30],"with":[31],"estimates":[32,83],"rule":[34],"accuracy":[35,85],"unreliable":[38],"due":[39],"the":[41,53,65,70,98,113,122],"small":[42],"number":[43],"performance":[45],"samples":[46],"available.":[47],"In":[48,77],"this":[49,56],"paper":[50],"we":[51,79],"highlight":[52],"importance":[54],"problem":[57],"for":[58,124,132],"LCS,":[59,101],"summarise":[60],"previous":[61],"heuristic":[62],"approaches":[63],"propose":[68],"instead":[69],"use":[71,131],"principles":[73],"Bayesian":[75,114],"estimation.":[76],"particular":[78],"argue":[80],"discounting":[82],"based":[86],"on":[87,111],"inexperience":[88],"must":[89,103],"be":[90,104],"recognised":[91],"as":[92],"a":[93],"crucially":[94],"part":[96],"specification":[99],"well":[105],"motivated.":[106],"We":[107],"present":[108],"experimental":[109],"results":[110],"using":[112],"approach":[115],"discounting,":[117],"consider":[118],"estimate":[121],"parameters":[123],"it,":[125],"identify":[127],"benefits":[128],"its":[130],"areas":[134],"LCS.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
