{"id":"https://openalex.org/W1860132205","doi":"https://doi.org/10.1007/3-540-46084-5_95","title":"Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error","display_name":"Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W1860132205","doi":"https://doi.org/10.1007/3-540-46084-5_95","mag":"1860132205"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-46084-5_95","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46084-5_95","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/A5061837009","display_name":"G\u00e9rald Gavin","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gerald Gavin","raw_affiliation_strings":["LASS, UCBL, UMR 5823 CNRS, 43 bd du 11 nov 1918, 69622, Villeurbanne C\u00e9dex"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LASS, UCBL, UMR 5823 CNRS, 43 bd du 11 nov 1918, 69622, Villeurbanne C\u00e9dex","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034012952","display_name":"Olivier Teytaud","orcid":"https://orcid.org/0000-0001-5570-5209"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olivier Teytaud","raw_affiliation_strings":["ISC, UMR 5015 CNRS, 67 Bd Pinel, F-69675, Bron C\u00e9dex"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISC, UMR 5015 CNRS, 67 Bd Pinel, F-69675, Bron C\u00e9dex","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2832,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58382477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9908999800682068,"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/intuition","display_name":"Intuition","score":0.7651112079620361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492015361785889},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7381848096847534},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.7010537385940552},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.6224088668823242},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5228731632232666},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46989700198173523},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.43821460008621216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35362178087234497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3528972864151001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2852897047996521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1884211003780365},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.18597981333732605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1264413595199585},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.05950665473937988}],"concepts":[{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.7651112079620361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492015361785889},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7381848096847534},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.7010537385940552},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.6224088668823242},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5228731632232666},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46989700198173523},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.43821460008621216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35362178087234497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3528972864151001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2852897047996521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1884211003780365},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.18597981333732605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1264413595199585},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.05950665473937988},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-46084-5_95","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-46084-5_95","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1519789693","https://openalex.org/W1530699444","https://openalex.org/W1542886316","https://openalex.org/W1564947197","https://openalex.org/W1860132205","https://openalex.org/W1969531736","https://openalex.org/W1996419656","https://openalex.org/W1996930999","https://openalex.org/W2000119679","https://openalex.org/W2009772318","https://openalex.org/W2042024619","https://openalex.org/W4249716558"],"related_works":["https://openalex.org/W2364252372","https://openalex.org/W4234066492","https://openalex.org/W1998063895","https://openalex.org/W1967044713","https://openalex.org/W2389506962","https://openalex.org/W2613388130","https://openalex.org/W1645673120","https://openalex.org/W1860132205","https://openalex.org/W2950787360","https://openalex.org/W1979152118"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}