{"id":"https://openalex.org/W1525410796","doi":"https://doi.org/10.1007/3-540-46769-6_2","title":"Theoretical Views of Boosting and Applications","display_name":"Theoretical Views of Boosting and Applications","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W1525410796","doi":"https://doi.org/10.1007/3-540-46769-6_2","mag":"1525410796"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-46769-6_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46769-6_2","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":"conference-paper","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/A5084108666","display_name":"Robert E. Schapire","orcid":"https://orcid.org/0000-0001-8616-1611"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert E. Schapire","raw_affiliation_strings":["AT&T Labs \u2014 Research, Shannon Laboratory, 180 Park Avenue, Room A279, Florham Park, NJ, 07932, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs \u2014 Research, Shannon Laboratory, 180 Park Avenue, Room A279, Florham Park, NJ, 07932, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084108666"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.0631,"has_fulltext":false,"cited_by_count":175,"citation_normalized_percentile":{"value":0.91665415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9994000196456909,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9994000196456909,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9950000047683716,"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":0.9727717638015747},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8688288927078247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7738872766494751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6476619839668274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6445863246917725},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5918833613395691},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.5074838995933533},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4600718915462494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302454650402069},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.17213639616966248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14430326223373413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13370954990386963},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.08722710609436035}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9727717638015747},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8688288927078247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738872766494751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6476619839668274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6445863246917725},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5918833613395691},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.5074838995933533},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4600718915462494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302454650402069},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.17213639616966248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14430326223373413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13370954990386963},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.08722710609436035},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-46769-6_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46769-6_2","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:10.1.1.9.121","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.dartmouth.edu/~brd/Teaching/GradAI/Readings/src/Ram/schapire_theoretical_boosting.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1516985181","https://openalex.org/W1529196404","https://openalex.org/W1552767446","https://openalex.org/W1554734378","https://openalex.org/W1578772208","https://openalex.org/W1605688901","https://openalex.org/W1670263352","https://openalex.org/W1676820704","https://openalex.org/W1850527962","https://openalex.org/W1881647329","https://openalex.org/W1966280301","https://openalex.org/W1975846642","https://openalex.org/W1981276685","https://openalex.org/W1988790447","https://openalex.org/W1995055819","https://openalex.org/W2019363670","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2040424159","https://openalex.org/W2053463056","https://openalex.org/W2067885219","https://openalex.org/W2070534370","https://openalex.org/W2084812512","https://openalex.org/W2087347434","https://openalex.org/W2093717447","https://openalex.org/W2097477220","https://openalex.org/W2099579348","https://openalex.org/W2099968818","https://openalex.org/W2104364170","https://openalex.org/W2106332767","https://openalex.org/W2106887613","https://openalex.org/W2111746072","https://openalex.org/W2112076978","https://openalex.org/W2119821739","https://openalex.org/W2125055259","https://openalex.org/W2126177819","https://openalex.org/W2142399242","https://openalex.org/W2151802538","https://openalex.org/W2152761983","https://openalex.org/W2156909104","https://openalex.org/W2165758113","https://openalex.org/W2166501286","https://openalex.org/W2295350107","https://openalex.org/W2335925837","https://openalex.org/W2982720039","https://openalex.org/W3034905139","https://openalex.org/W4238893454","https://openalex.org/W6661953458","https://openalex.org/W6675460260","https://openalex.org/W6678646454","https://openalex.org/W6821113053"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1992847598","https://openalex.org/W2385662756","https://openalex.org/W2385341160","https://openalex.org/W2388678442","https://openalex.org/W1491053661","https://openalex.org/W1525410796","https://openalex.org/W1986114064"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
