{"id":"https://openalex.org/W1993044408","doi":"https://doi.org/10.1080/0929617042000314967","title":"The Machine Learning Method: Analysis of Experimental Results","display_name":"The Machine Learning Method: Analysis of Experimental Results","publication_year":2004,"publication_date":"2004-12-01","ids":{"openalex":"https://openalex.org/W1993044408","doi":"https://doi.org/10.1080/0929617042000314967","mag":"1993044408"},"language":"en","primary_location":{"id":"doi:10.1080/0929617042000314967","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0929617042000314967","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-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/A5000467416","display_name":"Jaroslav E. Poliscuk","orcid":null},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":true,"raw_author_name":"Jaroslav E. Poliscuk","raw_affiliation_strings":["University of Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montenegro","institution_ids":["https://openalex.org/I5936373"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000467416"],"corresponding_institution_ids":["https://openalex.org/I5936373"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06437375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"3","first_page":"215","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.631600022315979,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.631600022315979,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13113","display_name":"Engineering Technology and Methodologies","score":0.5460000038146973,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692132353782654},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6299262046813965},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5924805402755737},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.544609785079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290892124176025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5012824535369873},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.481481671333313},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.4275430738925934},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.42580482363700867},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.13100409507751465},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08394119143486023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692132353782654},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6299262046813965},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5924805402755737},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.544609785079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290892124176025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5012824535369873},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.481481671333313},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.4275430738925934},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.42580482363700867},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.13100409507751465},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08394119143486023},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0929617042000314967","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0929617042000314967","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847","https://openalex.org/P4310320547"],"host_organization_lineage_names":["Routledge","Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W4376605461","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W3087814763","https://openalex.org/W2892507673","https://openalex.org/W2361647908","https://openalex.org/W2937181779","https://openalex.org/W2537866915","https://openalex.org/W2089415692"],"abstract_inverted_index":{"In":[0],"this":[1,20],"article,":[2],"a":[3,11,28],"reinforcement":[4],"learning":[5,14],"method":[6,21],"is":[7,15,22],"analyzed,":[8],"in":[9],"which":[10],"subject":[12],"of":[13,19,25,49],"defined.":[16],"The":[17],"essence":[18],"the":[23,42,50,59],"selection":[24],"activities":[26],"by":[27,41],"trial":[29],"and":[30,33,58],"error":[31],"process":[32],"awarding":[34],"deferred":[35],"rewards.":[36],"Theoretical":[37],"analyses":[38],"were":[39],"supplemented":[40],"practical":[43],"studies,":[44],"with":[45,54],"reference":[46],"to":[47],"implementation":[48],"Sarsa":[51],"(Lambda)":[52],"algorithm,":[53],"replacing":[55],"eligibility":[56],"traces":[57],"Epsilon":[60],"greedy":[61],"policy.":[62]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}