{"id":"https://openalex.org/W570330532","doi":null,"title":"Les mod\u00e8les g\u00e9n\u00e9ratifs en classification supervis\u00e9e et applications \u00e0 la cat\u00e9gorisation d'images et \u00e0 la fiabilit\u00e9 industrielle","display_name":"Les mod\u00e8les g\u00e9n\u00e9ratifs en classification supervis\u00e9e et applications \u00e0 la cat\u00e9gorisation d'images et \u00e0 la fiabilit\u00e9 industrielle","publication_year":2005,"publication_date":"2005-05-10","ids":{"openalex":"https://openalex.org/W570330532","mag":"570330532"},"language":"fr","primary_location":{"id":"pmh:oai:HAL:tel-00541059v1","doi":null,"is_oa":true,"landing_page_url":"https://theses.hal.science/tel-00541059","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"Interface homme-machine [cs.HC]. Universit\u00e9 Joseph-Fourier - Grenoble I, 2005. Fran\u00e7ais. ⟨NNT : ⟩","raw_type":"info:eu-repo/semantics/doctoralThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://theses.hal.science/tel-00541059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090750283","display_name":"Guillaume Bouchard","orcid":"https://orcid.org/0009-0006-5332-0923","observed_orcids":["https://orcid.org/0009-0006-5332-0923","https://orcid.org/0009-0009-1506-0616"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guillaume Bouchard","raw_affiliation_strings":["Learning and recognition in vision"],"raw_orcid":"https://orcid.org/0009-0006-5332-0923","affiliations":[{"raw_affiliation_string":"Learning and recognition in vision","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5090750283"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.257099986076355,"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":0.257099986076355,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.18400000035762787,"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":0.17980000376701355,"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/generative-models","display_name":"generative models","score":0.9829999804496765},{"id":"https://openalex.org/keywords/supervised-classification","display_name":"supervised classification","score":0.9769999980926514},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.7950000166893005},{"id":"https://openalex.org/keywords/manufacturing-reliability","display_name":"production reliability","score":0.9340000152587891},{"id":"https://openalex.org/keywords/failure-probability-assessment","display_name":"failure probability estimation","score":0.8090000152587891},{"id":"https://openalex.org/keywords/model-selection-criteria","display_name":"model selection criteria","score":0.7450000047683716},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.6520000100135803},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"kernel density estimation","score":0.5},{"id":"https://openalex.org/keywords/boundary-estimation","display_name":"boundary estimation","score":0.5509999990463257},{"id":"https://openalex.org/keywords/structured-data","display_name":"structured data","score":0.6200000047683716}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.8280051946640015},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.5023775100708008}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:tel-00541059v1","doi":null,"is_oa":true,"landing_page_url":"https://theses.hal.science/tel-00541059","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"Interface homme-machine [cs.HC]. Universit\u00e9 Joseph-Fourier - Grenoble I, 2005. Fran\u00e7ais. ⟨NNT : ⟩","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"mag:570330532","doi":null,"is_oa":false,"landing_page_url":"https://tel.archives-ouvertes.fr/tel-00541059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:HAL:tel-00541059v1","doi":null,"is_oa":true,"landing_page_url":"https://theses.hal.science/tel-00541059","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"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":"Interface homme-machine [cs.HC]. Universit\u00e9 Joseph-Fourier - Grenoble I, 2005. Fran\u00e7ais. ⟨NNT : ⟩","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":124,"referenced_works":["https://openalex.org/W42242728","https://openalex.org/W113430924","https://openalex.org/W145119569","https://openalex.org/W178256187","https://openalex.org/W226810482","https://openalex.org/W637493336","https://openalex.org/W1480376833","https://openalex.org/W1493790738","https://openalex.org/W1495241956","https://openalex.org/W1496659369","https://openalex.org/W1507029541","https://openalex.org/W1516359365","https://openalex.org/W1524704912","https://openalex.org/W1528905581","https://openalex.org/W1541904034","https://openalex.org/W1554412487","https://openalex.org/W1559135799","https://openalex.org/W1560724230","https://openalex.org/W1561099716","https://openalex.org/W1563088657","https://openalex.org/W1564947197","https://openalex.org/W1578003890","https://openalex.org/W1579271636","https://openalex.org/W1580499551","https://openalex.org/W1590689398","https://openalex.org/W1603829220","https://openalex.org/W1614659291","https://openalex.org/W1625255723","https://openalex.org/W1650640625","https://openalex.org/W1782429601","https://openalex.org/W1817561967","https://openalex.org/W1943381737","https://openalex.org/W1949116567","https://openalex.org/W1963925817","https://openalex.org/W1964561904","https://openalex.org/W1967452588","https://openalex.org/W1973759055","https://openalex.org/W1996268356","https://openalex.org/W2001619934","https://openalex.org/W2003485089","https://openalex.org/W2005363197","https://openalex.org/W2008652694","https://openalex.org/W2014235936","https://openalex.org/W2023399244","https://openalex.org/W2025653905","https://openalex.org/W2043182541","https://openalex.org/W2046649434","https://openalex.org/W2049633694","https://openalex.org/W2065540158","https://openalex.org/W2065905349","https://openalex.org/W2077633968","https://openalex.org/W2087641678","https://openalex.org/W2090268867","https://openalex.org/W2090578816","https://openalex.org/W2092524174","https://openalex.org/W2093007208","https://openalex.org/W2097138116","https://openalex.org/W2098545770","https://openalex.org/W2098770944","https://openalex.org/W2099111195","https://openalex.org/W2099756352","https://openalex.org/W2105644991","https://openalex.org/W2106784859","https://openalex.org/W2106868411","https://openalex.org/W2109703216","https://openalex.org/W2109820980","https://openalex.org/W2110099550","https://openalex.org/W2114535528","https://openalex.org/W2116090451","https://openalex.org/W2117812871","https://openalex.org/W2118743891","https://openalex.org/W2119072456","https://openalex.org/W2121127625","https://openalex.org/W2121445600","https://openalex.org/W2123838014","https://openalex.org/W2125027820","https://openalex.org/W2129116707","https://openalex.org/W2129476886","https://openalex.org/W2130416410","https://openalex.org/W2134199473","https://openalex.org/W2135194391","https://openalex.org/W2136341770","https://openalex.org/W2137512539","https://openalex.org/W2139786505","https://openalex.org/W2140390894","https://openalex.org/W2141218264","https://openalex.org/W2141770651","https://openalex.org/W2142248489","https://openalex.org/W2144068644","https://openalex.org/W2146143523","https://openalex.org/W2146855196","https://openalex.org/W2147880316","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2150796457","https://openalex.org/W2150884987","https://openalex.org/W2151103935","https://openalex.org/W2151531457","https://openalex.org/W2152922857","https://openalex.org/W2152989093","https://openalex.org/W2154422044","https://openalex.org/W2156140776","https://openalex.org/W2156515921","https://openalex.org/W2157568218","https://openalex.org/W2158001550","https://openalex.org/W2158268505","https://openalex.org/W2160225842","https://openalex.org/W2161813919","https://openalex.org/W2162601563","https://openalex.org/W2162708558","https://openalex.org/W2166163519","https://openalex.org/W2166473218","https://openalex.org/W2171849160","https://openalex.org/W2283504545","https://openalex.org/W2403035479","https://openalex.org/W2467868261","https://openalex.org/W2496598520","https://openalex.org/W2597796970","https://openalex.org/W2913066018","https://openalex.org/W3017143921","https://openalex.org/W3099242408","https://openalex.org/W3136726919","https://openalex.org/W4240782261","https://openalex.org/W4253214256"],"related_works":["https://openalex.org/W4392422992","https://openalex.org/W2915441892","https://openalex.org/W7043787968","https://openalex.org/W7214248817","https://openalex.org/W425684851","https://openalex.org/W7151284883","https://openalex.org/W4389260285","https://openalex.org/W7056608433","https://openalex.org/W7149302984","https://openalex.org/W4287904351"],"abstract_inverted_index":{"L'apprentissage":[0],"statistique":[1,169],"utilise":[2],"le":[3,53,82,223],"formalisme":[4,224],"des":[5,8,12,19,118,143,225,235],"probabilit\u00e9s":[6],"et":[7,38,62,84,159,162,193,198,202,238],"statistiques":[9],"pour":[10,89,167,230,239,261],"cr\u00e9er":[11],"algorithmes":[13],"qui":[14,21],"\"s'adaptent\"":[15],"automatiquement":[16],"en":[17,67,200,203,245],"fonction":[18],"donn\u00e9es":[20,56,119],"leurs":[22],"sont":[23,196,228],"fournies.":[24],"Les":[25,184],"outils":[26,124,165],"les":[27,59,63,101,113,123,189],"plus":[28],"performants":[29],"aujourd'hui":[30],"(Support":[31],"Vector":[32],"Machine,":[33],"boosting,":[34],"r\u00e9gression":[35,161],"logistique":[36],"p\u00e9nalis\u00e9e":[37],"r\u00e9seaux":[39],"de":[40,48,55,79,98,110,125,141,146,156,160,173,175,243,251,267],"neurones)":[41],"font":[42],"partie":[43],"d'une":[44,69,108],"classe":[45],"g\u00e9n\u00e9rale":[46],"d'algorithmes":[47],"type":[49,180,211],"\"discriminatif\".":[50],"Cependant,":[51],"dans":[52,153,234],"cas":[54],"structur\u00e9es":[57],"(e.g.":[58],"s\u00e9ries":[60],"temporelles":[61],"images":[64,236],"num\u00e9riques)":[65],"ou":[66],"pr\u00e9sence":[68],"forte":[70],"information":[71],"a":[72],"priori,":[73],"ces":[74],"m\u00e9thodes":[75],"ne":[76],"permettent":[77],"pas":[78],"mod\u00e9liser":[80,99],"facilement":[81],"probl\u00e8me":[83,104],"n\u00e9cessitent":[85],"une":[86,241],"v\u00e9ritable":[87],"expertise":[88],"pouvoir":[90],"\u00eatre":[91],"appliqu\u00e9es.":[92],"A":[93],"l'oppos\u00e9,":[94],"l'approche":[95],"g\u00e9n\u00e9rative":[96,150,192],"permet":[97,140],"toutes":[100],"variables":[102],"d'un":[103,209,265],"sous":[105],"la":[106,116,207,231,263],"forme":[107],"distribution":[109],"probabilit\u00e9":[111,242],"incluant":[112],"informations":[114],"sur":[115],"structure":[117],"gr\u00e2ce":[120],"\u00e0":[121,178,206,257],"tous":[122],"mod\u00e9lisation":[126],"non-supervis\u00e9s.":[127],"Dans":[128],"cette":[129,134],"th\u00e8se,":[130],"nous":[131],"montrons":[132],"que":[133],"approche,":[135],"longtemps":[136],"consid\u00e9r\u00e9e":[137],"comme":[138],"sous-optimale,":[139],"r\u00e9soudre":[142],"probl\u00e8mes":[144],"complexes":[145],"mani\u00e8re":[147],"coh\u00e9rente.":[148],"L'approche":[149],"est":[151,182,259],"d\u00e9finie":[152],"un":[154,249,255],"cadre":[155],"classification":[157,201],"supervis\u00e9e":[158],"propose":[163],"plusieurs":[164],"novateurs":[166],"l'apprentissage":[168],"supervis\u00e9.":[170],"Un":[171],"crit\u00e8re":[172],"s\u00e9lection":[174],"mod\u00e8le":[176],"adapt\u00e9":[177],"ce":[179],"d'approche":[181],"d\u00e9velopp\u00e9.":[183],"deux":[185],"principales":[186],"mani\u00e8res":[187],"d'estimer":[188],"param\u00e8tres":[190],"-":[191,195],"discriminative":[194,253],"introduites":[197],"analys\u00e9es":[199],"r\u00e9gression,":[204],"conduisant":[205],"d\u00e9finition":[208],"nouveau":[210],"d'estimateur":[212],"interm\u00e9diaire":[213],"appel\u00e9":[214],"Generative-Discriminative":[215],"Tradeoff":[216],"(GDT).":[217],"Des":[218],"exemples":[219],"d'approches":[220],"g\u00e9n\u00e9ratives":[221],"utilisant":[222,254],"mod\u00e8les":[226],"graphiques":[227],"\u00e9tudi\u00e9es":[229],"cat\u00e9gorisation":[232],"d'objets":[233],"num\u00e9riques":[237],"calculer":[240],"d\u00e9faillance":[244],"fiabilit\u00e9":[246],"industrielle.":[247],"Enfin,":[248],"exemple":[250],"m\u00e9thode":[252],"estimateur":[256],"noyau":[258],"propos\u00e9":[260],"estimer":[262],"fronti\u00e8re":[264],"ensemble":[266],"points.":[268]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}