{"id":"https://openalex.org/W1534477342","doi":"https://doi.org/10.1007/3-540-45014-9_1","title":"Ensemble Methods in Machine Learning","display_name":"Ensemble Methods in Machine Learning","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1534477342","doi":"https://doi.org/10.1007/3-540-45014-9_1","mag":"1534477342"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45014-9_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5074537073","display_name":"Thomas G. Dietterich","orcid":"https://orcid.org/0000-0002-8223-8586"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas G. Dietterich","raw_affiliation_strings":["Oregon State University, Corvallis, Oregon, USA","Oregon State University>"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, Oregon, USA","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"Oregon State University>","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074537073"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":54.1075,"has_fulltext":false,"cited_by_count":7843,"citation_normalized_percentile":{"value":0.99984247,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8394747972488403},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8214684128761292},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.798493504524231},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7689718008041382},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6868249773979187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6843074560165405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.653396725654602},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5086808800697327},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4370269775390625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39057934284210205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09682711958885193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394747972488403},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8214684128761292},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.798493504524231},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7689718008041382},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6868249773979187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6843074560165405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.653396725654602},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5086808800697327},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4370269775390625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39057934284210205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09682711958885193}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/3-540-45014-9_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.228.2236","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.2236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.engr.oregonstate.edu/%7Etgd/publications/mcs-ensembles.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.34.4718","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.4718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.orst.edu/pub/tgd/papers/mcs-ensembles.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W195465510","https://openalex.org/W1482451543","https://openalex.org/W1553313034","https://openalex.org/W1578772208","https://openalex.org/W1605688901","https://openalex.org/W1676820704","https://openalex.org/W1970074386","https://openalex.org/W1988790447","https://openalex.org/W1991418450","https://openalex.org/W2019778169","https://openalex.org/W2027197837","https://openalex.org/W2032210760","https://openalex.org/W2037699108","https://openalex.org/W2042614373","https://openalex.org/W2098191394","https://openalex.org/W2112076978","https://openalex.org/W2135293965","https://openalex.org/W2148520070","https://openalex.org/W2152761983","https://openalex.org/W2912934387","https://openalex.org/W2914859268","https://openalex.org/W4212774754","https://openalex.org/W4242746271","https://openalex.org/W6676769703","https://openalex.org/W6808111085"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":269},{"year":2025,"cited_by_count":654},{"year":2024,"cited_by_count":591},{"year":2023,"cited_by_count":517},{"year":2022,"cited_by_count":458},{"year":2021,"cited_by_count":659},{"year":2020,"cited_by_count":649},{"year":2019,"cited_by_count":601},{"year":2018,"cited_by_count":424},{"year":2017,"cited_by_count":395},{"year":2016,"cited_by_count":333},{"year":2015,"cited_by_count":286},{"year":2014,"cited_by_count":261},{"year":2013,"cited_by_count":190},{"year":2012,"cited_by_count":236}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
