{"id":"https://openalex.org/W2045495405","doi":"https://doi.org/10.1007/s11222-009-9148-5","title":"Twin Boosting: improved feature selection and prediction","display_name":"Twin Boosting: improved feature selection and prediction","publication_year":2009,"publication_date":"2009-09-02","ids":{"openalex":"https://openalex.org/W2045495405","doi":"https://doi.org/10.1007/s11222-009-9148-5","mag":"2045495405"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-009-9148-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-009-9148-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-009-9148-5.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-009-9148-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033240072","display_name":"Peter B\u00fchlmann","orcid":"https://orcid.org/0000-0002-1782-6015"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Peter B\u00fchlmann","raw_affiliation_strings":["Seminar f\u00fcr Statistik, ETH Z\u00fcrich, 8092, Z\u00fcrich, Switzerland","Seminar f\u00fcr Statistik, ETH Z\u00fcrich, Z\u00fcrich, Switzerland 8092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seminar f\u00fcr Statistik, ETH Z\u00fcrich, 8092, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Seminar f\u00fcr Statistik, ETH Z\u00fcrich, Z\u00fcrich, Switzerland 8092","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062348958","display_name":"Torsten Hothorn","orcid":"https://orcid.org/0000-0001-8301-0471"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torsten Hothorn","raw_affiliation_strings":["Institut f\u00fcr Statistik, Ludwig-Maximilians-Universit\u00e4t, 80539, M\u00fcnchen, Germany","Institut f\u00fcr Statistik, Ludwig-Maximilians-Universit\u00e4t, M\u00fcnchen, Germany 80539"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Statistik, Ludwig-Maximilians-Universit\u00e4t, 80539, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Institut f\u00fcr Statistik, Ludwig-Maximilians-Universit\u00e4t, M\u00fcnchen, Germany 80539","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":4.5417,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.94839609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"2","first_page":"119","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9916999936103821,"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/T10320","display_name":"Neural Networks and Applications","score":0.9912999868392944,"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/boosting","display_name":"Boosting (machine learning)","score":0.913785457611084},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6884741187095642},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5600014925003052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560474395751953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49256545305252075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48814210295677185},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.43757352232933044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4224567115306854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3926267623901367},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.0897853672504425}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.913785457611084},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6884741187095642},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5600014925003052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560474395751953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49256545305252075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48814210295677185},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.43757352232933044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4224567115306854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3926267623901367},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.0897853672504425}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11222-009-9148-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-009-9148-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-009-9148-5.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:doc.rero.ch:310812","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400148","display_name":"reroDoc Digital Library","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/17568","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/17568","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing, 20 (2)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000017568","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000017568","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s11222-009-9148-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-009-9148-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-009-9148-5.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2045495405.pdf","grobid_xml":"https://content.openalex.org/works/W2045495405.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W53188351","https://openalex.org/W591644047","https://openalex.org/W1487258612","https://openalex.org/W1500474910","https://openalex.org/W1540007258","https://openalex.org/W1678356000","https://openalex.org/W1922017469","https://openalex.org/W1973682096","https://openalex.org/W1988790447","https://openalex.org/W1997963774","https://openalex.org/W2010824638","https://openalex.org/W2017008479","https://openalex.org/W2020925091","https://openalex.org/W2024046085","https://openalex.org/W2025266808","https://openalex.org/W2025888759","https://openalex.org/W2052646632","https://openalex.org/W2063978378","https://openalex.org/W2067885219","https://openalex.org/W2088883866","https://openalex.org/W2096139934","https://openalex.org/W2112076978","https://openalex.org/W2113156707","https://openalex.org/W2122825543","https://openalex.org/W2134124507","https://openalex.org/W2135046866","https://openalex.org/W2135125546","https://openalex.org/W2150940164","https://openalex.org/W2164272351","https://openalex.org/W2168020168","https://openalex.org/W2172195373","https://openalex.org/W2330541013","https://openalex.org/W2715880412","https://openalex.org/W2911964244","https://openalex.org/W2912273251","https://openalex.org/W2952563653","https://openalex.org/W3098834468","https://openalex.org/W3099723433","https://openalex.org/W3102221121","https://openalex.org/W3105034597","https://openalex.org/W3105385395","https://openalex.org/W3119424394","https://openalex.org/W3207007339","https://openalex.org/W4205699531","https://openalex.org/W4229873072","https://openalex.org/W4245958676"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W4310224730","https://openalex.org/W3094138326","https://openalex.org/W1985505753"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
