{"id":"https://openalex.org/W6906537765","doi":"https://doi.org/10.17619/unipb/1-1780","title":"Advanced Algorithm Selection with Machine Learning","display_name":"Advanced Algorithm Selection with Machine Learning","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W6906537765","doi":"https://doi.org/10.17619/unipb/1-1780"},"language":"de","primary_location":{"id":"pmh:oai:digital.ub.uni-paderborn.de:7205173","is_oa":true,"landing_page_url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1780","pdf_url":"https://digital.ub.uni-paderborn.de/hs/content/titleinfo/7205173/full.pdf","source":{"id":"https://openalex.org/S4306402316","display_name":"Amtliche Mitteilungen (Universit\u00e4tsbibliothek Paderborn)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I206945453","host_organization_name":"Paderborn University","host_organization_lineage":["https://openalex.org/I206945453"],"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":"","raw_type":"Text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digital.ub.uni-paderborn.de/hs/content/titleinfo/7205173/full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tornede, Alexander","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tornede, Alexander","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29123116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.2590000033378601,"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":0.2590000033378601,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.1445000022649765,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.04340000078082085,"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/selection","display_name":"Selection (genetic algorithm)","score":0.35899999737739563},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.2736999988555908},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.24120000004768372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5550000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3472999930381775},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.34439998865127563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3368000090122223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27570000290870667},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.24120000004768372}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digital.ub.uni-paderborn.de:7205173","is_oa":true,"landing_page_url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1780","pdf_url":"https://digital.ub.uni-paderborn.de/hs/content/titleinfo/7205173/full.pdf","source":{"id":"https://openalex.org/S4306402316","display_name":"Amtliche Mitteilungen (Universit\u00e4tsbibliothek Paderborn)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I206945453","host_organization_name":"Paderborn University","host_organization_lineage":["https://openalex.org/I206945453"],"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":"","raw_type":"Text"},{"id":"doi:10.17619/unipb/1-1780","is_oa":true,"landing_page_url":"https://doi.org/10.17619/unipb/1-1780","pdf_url":null,"source":{"id":"https://openalex.org/S4306401930","display_name":"University Library Bielefeld Digital Collections (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:digital.ub.uni-paderborn.de:7205173","is_oa":true,"landing_page_url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1780","pdf_url":"https://digital.ub.uni-paderborn.de/hs/content/titleinfo/7205173/full.pdf","source":{"id":"https://openalex.org/S4306402316","display_name":"Amtliche Mitteilungen (Universit\u00e4tsbibliothek Paderborn)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I206945453","host_organization_name":"Paderborn University","host_organization_lineage":["https://openalex.org/I206945453"],"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6906537765.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"F\u00fcr":[0],"die":[1,11,70,86,107,121,136,155,166],"meisten":[2,79],"rechenintensiven":[3],"Probleme":[4,22],"gibt":[5],"es":[6,174],"eine":[7,44,74],"Vielzahl":[8],"an":[9],"Algorithmen,":[10,113],"alle":[12],"ihre":[13],"St\u00e4rken":[14],"und":[15,120,205,216],"Schw\u00e4chen":[16],"auf":[17,51,83,87,93,116],"verschiedenen":[18],"Instanzen":[19],"der":[20,30,54,139,181,183,203,206],"genannten":[21,157],"haben.":[23],"Dementsprechend":[24],"sehen":[25],"sich":[26],"Anwender":[27],"st\u00e4ndig":[28],"mit":[29],"Frage":[31,59],"kon-":[32],"frontiert:":[33],"Welcher":[34],"Algorithmus":[35,72],"sollte":[36],"f\u00fcr":[37,73],"dieses":[38],"spezielle":[39],"Problem":[40],"gew\u00e4hlt":[41],"werden,":[42],"um":[43,154,209],"hohe":[45],"L\u00f6sungsg\u00fcte":[46],"zu":[47,60,160,179,218],"erreichen?":[48],"Die":[49,78],"Forschung":[50],"dem":[52,201],"Gebiet":[53],"Algorith-":[55],"menselektion":[56],"versucht,":[57],"diese":[58],"beantworten,":[61],"indem":[62,142],"sie":[63],"Entscheidungsstrate-":[64],"gien,":[65],"so":[66],"genannte":[67],"Algorithmenselektoren,":[68],"entwickelt,":[69],"einen":[71,176],"bestimmte":[75],"Probleminstanz":[76],"vorschlagen.":[77],"dieser":[80,132],"Selektoren":[81],"basieren":[82],"datengetriebenen":[84],"Lernmethoden,":[85],"Basis":[88,117],"aufgezeichneter":[89],"Evaluationen":[90],"von":[91,112,168,172,191],"Algorithmen":[92,169],"Probleminstanzen":[94],"betrieben":[95],"werden.":[96],"Obwohl":[97],"in":[98,170,182,214],"den":[99,146],"letzten":[100],"Jahrzehnten":[101],"viele":[102],"Algorithmenselektoren":[103,210],"entwickelt":[104],"wurden,":[105],"bleiben":[106],"Auswahl":[108],"aus":[109,186,200,211],"gro\u00dfen":[110,189],"Mengen":[111],"das":[114],"Lernen":[115],"zensierter":[118],"Daten,":[119],"Wahl":[122],"eines":[123],"geeigneten":[124],"Algorithmenselektors":[125],"selbst,":[126],"wichtige":[127],"praktische":[128,137],"Her-":[129],"ausforderungen.":[130],"In":[131],"Arbeit":[133],"verbessern":[134],"wir":[135,143,198],"Anwendbarkeit":[138],"Algorithmenauswahl":[140],"erheblich,":[141],"Fortschritte":[144],"bei":[145],"zugrunde":[147],"liegenden":[148],"Methoden":[149,199],"des":[150],"maschinellen":[151],"Lernens":[152],"vorschlagen,":[153],"oben":[156],"Heraus-":[158],"forderungen":[159],"bew\u00e4ltigen.":[161],"Insbesondere":[162],"zeigen":[163],"wir,":[164],"dass":[165],"Darstellung":[167],"Form":[171],"Featurevektoren":[173],"erm\u00f6glicht,":[175],"Algorithmenselektor":[177],"effizient":[178],"lernen,":[180],"Lage":[184],"ist,":[185],"einer":[187],"extrem":[188],"Menge":[190],"Algo-":[192],"rithmen":[193],"auszuw\u00e4hlen.":[194],"Dar\u00fcber":[195],"hinaus":[196],"nutzen":[197],"Bereich":[202],"\u00dcberlebensanalyse":[204],"mehrarmigen":[207],"Banditen,":[208],"zensierten":[212],"Daten":[213],"Offline-":[215],"Online-Settings":[217],"lernen.":[219],"[...]":[220],"(shortened":[221],"due":[222],"to":[223],"size":[224],"constraints)":[225]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}