{"id":"https://openalex.org/W1546961578","doi":"https://doi.org/10.1023/a:1013912006537","title":"Logistic Regression, AdaBoost and Bregman Distances","display_name":"Logistic Regression, AdaBoost and Bregman Distances","publication_year":2002,"publication_date":"2002-07-01","ids":{"openalex":"https://openalex.org/W1546961578","doi":"https://doi.org/10.1023/a:1013912006537","mag":"1546961578"},"language":"en","primary_location":{"id":"doi:10.1023/a:1013912006537","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1013912006537","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1013912006537.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1023/A:1013912006537.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101939847","display_name":"Michael Collins","orcid":"https://orcid.org/0000-0001-9832-7682"},"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":"Michael Collins","raw_affiliation_strings":["AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ, 07932, USA","AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ 07932, USA. mcollins@research.att.com#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ, 07932, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ 07932, USA. mcollins@research.att.com#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","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":false,"raw_author_name":"Robert E. Schapire","raw_affiliation_strings":["AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ, 07932, USA","AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ 07932, USA. schapire@research.att.com#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ, 07932, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs\u2014Research, Shannon Laboratory, 180 Park Avenue, Florham Park, NJ 07932, USA. schapire@research.att.com#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113437318","display_name":"Yoram Singer","orcid":null},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yoram Singer","raw_affiliation_strings":["School of Computer Science & Engineering, Hebrew University, Jerusalem, 91904, Israel","School of Computer Science & Engineering, Hebrew University, Jerusalem 91904, Israel. singer@cs.huji.ac.il#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Hebrew University, Jerusalem, 91904, Israel","institution_ids":["https://openalex.org/I197251160"]},{"raw_affiliation_string":"School of Computer Science & Engineering, Hebrew University, Jerusalem 91904, Israel. singer@cs.huji.ac.il#TAB#","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101939847"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":19.0844,"has_fulltext":true,"cited_by_count":688,"citation_normalized_percentile":{"value":0.99553339,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"48","issue":"1-3","first_page":"253","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9965000152587891,"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":0.5823739171028137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5694453716278076},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5369576811790466},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.532234251499176},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.5151737928390503},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46217623353004456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35548511147499084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3336760103702545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823739171028137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5694453716278076},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5369576811790466},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.532234251499176},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.5151737928390503},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46217623353004456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35548511147499084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3336760103702545},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1013912006537","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1013912006537","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1013912006537.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1023/a:1013912006537","is_oa":true,"landing_page_url":"https://doi.org/10.1023/a:1013912006537","pdf_url":"https://link.springer.com/content/pdf/10.1023/A:1013912006537.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1546961578.pdf","grobid_xml":"https://content.openalex.org/works/W1546961578.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W16591383","https://openalex.org/W1007293483","https://openalex.org/W1502036914","https://openalex.org/W1519583613","https://openalex.org/W1535842775","https://openalex.org/W1540007258","https://openalex.org/W1540198634","https://openalex.org/W1554734378","https://openalex.org/W1570060426","https://openalex.org/W1881647329","https://openalex.org/W1983739894","https://openalex.org/W1984424319","https://openalex.org/W1984958640","https://openalex.org/W1985949731","https://openalex.org/W1988790447","https://openalex.org/W2001792610","https://openalex.org/W2011395874","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2033468335","https://openalex.org/W2053463056","https://openalex.org/W2069317438","https://openalex.org/W2077990749","https://openalex.org/W2078645667","https://openalex.org/W2092279736","https://openalex.org/W2096175520","https://openalex.org/W2104812799","https://openalex.org/W2121460514","https://openalex.org/W2130926302","https://openalex.org/W2155969596","https://openalex.org/W2160709761","https://openalex.org/W2160842254","https://openalex.org/W2172195373","https://openalex.org/W2294105907","https://openalex.org/W4244952642","https://openalex.org/W6633233822","https://openalex.org/W6639409548"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1516574938","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W1976468483","https://openalex.org/W2480116122","https://openalex.org/W2563912921","https://openalex.org/W2407611282"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":42},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":30},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":27},{"year":2012,"cited_by_count":35}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2016-06-24T00:00:00"}
