{"id":"https://openalex.org/W2089404425","doi":"https://doi.org/10.1145/2739480.2754673","title":"Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement","display_name":"Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W2089404425","doi":"https://doi.org/10.1145/2739480.2754673","mag":"2089404425"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 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/A5083504710","display_name":"Jakob Bossek","orcid":"https://orcid.org/0000-0002-4121-4668"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Bossek","raw_affiliation_strings":["University of Muenster, Muenster, Germany","(University of Muenster, Muenster, Germany)"],"affiliations":[{"raw_affiliation_string":"University of Muenster, Muenster, Germany","institution_ids":["https://openalex.org/I22465464"]},{"raw_affiliation_string":"(University of Muenster, Muenster, Germany)","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069072700","display_name":"Bernd Bischl","orcid":"https://orcid.org/0000-0001-6002-6980"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Bischl","raw_affiliation_strings":["TU Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109562191","display_name":"Tobias Wagner","orcid":"https://orcid.org/0000-0001-5064-0960"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Wagner","raw_affiliation_strings":["TU Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062851293","display_name":"G\u00fcnter Rudolph","orcid":"https://orcid.org/0000-0003-4223-5257"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G\u00fcnter Rudolph","raw_affiliation_strings":["TU Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083504710"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85781416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1319","last_page":"1326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9945999979972839,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9945999979972839,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9861000180244446,"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/parameter-space","display_name":"Parameter space","score":0.914612352848053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823709607124329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6250016689300537},{"id":"https://openalex.org/keywords/model-parameter","display_name":"Model parameter","score":0.6070716381072998},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5924250483512878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4525179862976074},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4333034157752991},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42158788442611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4187372922897339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3816002905368805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24193215370178223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15284177660942078}],"concepts":[{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.914612352848053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823709607124329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6250016689300537},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.6070716381072998},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5924250483512878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4525179862976074},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4333034157752991},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42158788442611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4187372922897339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3816002905368805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24193215370178223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15284177660942078},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739480.2754673","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W102487131","https://openalex.org/W170314049","https://openalex.org/W332481212","https://openalex.org/W1490176645","https://openalex.org/W1499983649","https://openalex.org/W1510052597","https://openalex.org/W1532637815","https://openalex.org/W1605438009","https://openalex.org/W1917918477","https://openalex.org/W1971421855","https://openalex.org/W1978042020","https://openalex.org/W1990570841","https://openalex.org/W1997807546","https://openalex.org/W2117643431","https://openalex.org/W2127143521","https://openalex.org/W2147278528","https://openalex.org/W2150337126","https://openalex.org/W2165220807","https://openalex.org/W2561675875","https://openalex.org/W2913663319","https://openalex.org/W4302450225"],"related_works":["https://openalex.org/W1998254728","https://openalex.org/W2069805373","https://openalex.org/W2023661646","https://openalex.org/W2369488043","https://openalex.org/W2066489961","https://openalex.org/W2905630886","https://openalex.org/W1987771408","https://openalex.org/W2612639608","https://openalex.org/W2087158431","https://openalex.org/W2793373094"],"abstract_inverted_index":{"The":[0],"majority":[1],"of":[2,23,53],"algorithms":[3],"can":[4,13],"be":[5],"controlled":[6],"or":[7],"adjusted":[8],"by":[9],"parameters.":[10],"Their":[11],"values":[12],"substantially":[14],"affect":[15],"the":[16,20,24,54],"algorithms'":[17],"performance.":[18],"Since":[19],"manual":[21],"exploration":[22],"parameter":[25,39],"space":[26],"is":[27],"tedious":[28],"--":[29,34],"even":[30],"for":[31,38],"few":[32],"parameters":[33],"several":[35],"automatic":[36],"procedures":[37],"tuning":[40],"have":[41],"been":[42],"proposed.":[43],"Recent":[44],"approaches":[45],"also":[46],"take":[47],"into":[48],"account":[49],"some":[50],"characteristic":[51],"properties":[52],"problem":[55],"instances,":[56],"frequently":[57],"termed":[58],"instance":[59],"features.":[60]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"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"}
