{“id”:“https://openalex.org/W4382318171“,”doi“:”https://doi.org/10.1609/aai.v37i8.26114“,”title“:”高效准确地学习Plackett-Louce模型的混合物“,”display_name“:”有效准确地学习Plackett-Louge模型的混合“,”publication_year“:2023,”publitation_date“:”2023-06-26“,”ids“:{”openalex“:”https://openalex.org/W4382318171“,”doi“:”https://doi.org/10.1609/aaai.v37i8.26114“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1609/aaai.v37i8.26114,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/26114/25886,“源”:{“id”:https://openalex.org/S4210191458“,”display_name“:”……会议记录。。。AAAI人工智能会议“,“issn_l”:“2159-5399”,“issn”:[“21595-5399”,“2374-3468”],“is_oa”:true,“is_ in_doaj”:false,“host_organization”:“https://openalex.org/P4310320058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”人工智能发展协会“],“type”:“conference”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”article“,”type_crossref“:“journal-article”,“indexed_in”:[”crossref“]oaurl“:”https://ojs.aai.org/index.php/aaai/article/download/26114/25886“,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5081825134“,”display_name“:”Duc T.Nguyen“,”orcid“:”https://orcid.org/0000-0002-5059-4404},“机构”:[{“id”:https://openalex.org/I36788626“,”display_name“:”宾夕法尼亚加州大学“,”ror“:”https://ror.org/01spssf70“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I36788626“]}],”countries“:[”US“],”is_corresponding“:false,”raw_author_name“:”Duc Nguyen“,”raw _affiliation_strings“:【”University of Pennsylvania“]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5063903553“,”display_name“:”Anderson Y.Zhang“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I36788626“,”display_name“:”宾夕法尼亚加州大学“,”ror“:”https://ror.org/01spssf70“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I36788626“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Anderson Y.Zhang“,”raw _ afiliation_strings“:[“宾夕法尼亚大学”]}]“countries _ distinct_count”:1,”institutions _ disting_count“:1,“corresponding_author_ids”:[],“correcponding_institution_ids“:[]”,“apc_list”:null,“apc _ paid”:null,“has_fulltext”:true,“fulltext_origin”:“pdf”,“cited_by_count“:0,”cited_by_percentile_year“:{”min“:0”,“max”:78},“biblio”:{“volume”:“37”,“issue”:“8”,“first_page”:“9294”,“last_page”:”9301“},”is_retracted“:false,”is_paratext“:false,”primary_topic“:”{“id”:“https://openalex.org/T11901“,”“display_name”:“基于模型的混合模型聚类”,“score”:0.9732,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11901“,”“display_name”:“基于模型的混合模型聚类”,“score”:0.9732,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11303“,”display_name“:”贝叶斯网络中的学习和推理“,”score“:0.9247,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10286“,”“display_name”:“信息检索技术与评价”,“score”:0.9204,“subfield”:{“id”:“https://openalex.org/subfields/1710“,”display_name“:”Information Systems“},”field“:{”id“id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/learning-to-rank“,”display_name“:”Learning to Rank“,”score“:0.600379},{”id“:”https://openalex.org/keywords/mixture-models(https://openalex.org/keywords/mixture-models)“,”display_name“:”混合模型“,”score“:0.593058},{”id“:”https://openalex.org/keywords/probabilistic-learning网站“,”display_name“:”概率学习“,”score“:0.585795},{”id“:”https://openalex.org/keywords/structure-learning(https://openalex.org/关键词/结构学习)“,”display_name“:”结构学习“,”score“:0.543624},{”id“:”https://openalex.org/keywords/infirence-algorithms(https://openalex.org/关键词/推断算法)“,”display_name“:”推理算法“,”score“:0.52817}],”concepts“:[{”id“:”https://openalex.org/C114466953,“wikidata”:https://www.wikidata.org/wiki/Q6034165“,”display_name“:”初始化“,”级别“:2,”分数“:0.8778126},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198(网址:https://www.wikidata.org/wiki/Q21198)“,”display_name“:”计算机科学“,”level“:0,”score“:0.66965246},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.62063015},{”id“:”https://openalex.org/C89106044,“wikidata”:https://www.wikidata.org/wiki/Q45284“,”display_name“:”似然函数“,”level“:3,”score“:0.6192563},{”id“:”https://openalex.org/C14036430网址,“wikidata”:https://www.wikidata.org/wiki/Q3736076“,”display_name“:”功能(生物学)“,”级别“:2,”分数“:0.5395114},{”id“:”https://openalex.org/C189430467,“wikidata”:https://www.wikidata.org/wiki/Q7293293“,”display_name“:”排名(信息检索)“,”级别“:2,”分数“:0.5168622},{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.4319202},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.33908114},{”id“:”https://openalex.org/C167928553,“wikidata”:https://www.wikidata.org/wiki/Q1376021“,”display_name“:”估计理论“,”level“:2,”score“:0.31305152},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.2376644},{”id“:”https://openalex.org/C78458016,“wikidata”:https://www.wikidata.org/wiki/Q840400“,”display_name“:”进化生物学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C86803240,“wikidata”:https://www.wikidata.org/wiki/Q420“,”display_name“:”生物学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1609/aaai.v37i8.26114,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/26114/25886,“源”:{“id”:https://openalex.org/S4210191458“,”display_name“:”……会议记录。。。AAAI人工智能会议“,“issn_l”:“2159-5399”,“issn”:[“21595-5399”,“2374-3468”],“is_oa”:true,“is_ in_doaj”:false,“host_organization”:“https://openalex.org/P431032058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”促进人工智能协会“],“type”:“conference”},“license”:null,“licence_id”:nul,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.1609/aaai.v37i8.26114,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/26114/25886,“源”:{“id”:https://openalex.org/S4210191458“,”display_name“:”会议记录。。。AAAI人工智能会议“,“issn_l”:“2159-5399”,“issn”:[“21595-5399”,“2374-3468”],“is_oa”:true,“is_ in_doaj”:false,“host_organization”:“https://openalex.org/P431032058“,”“host_organization_name”:“人工智能发展协会”,“host_ordanization_lineage”:[“https://openalex.org/P431032058“],”host_organization_lineage_names“:[”促进人工智能发展协会“],“type”:“conference”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”sustainable_development_goals“:[],”grants“:【】,”dataset“:【],“versions”:【】related_works“:[”https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W3167036484","https://openalex.org/W3031039437","https://openalex.org/W2945972939","https://openalex.org/W2499041866","https://openalex.org/W2355833770","https://openalex.org/W2120595071","https://openalex.org/W1985458517","https://openalex.org/W1598553450“],”ngrams_url“:”https://api.openalex.org/works/W4382318171/ngrams网站“,”“abstract_inverted_index”:{“混合物”:[0],“模型”:[1],“of”:[2,6,17,85162176],“Plackett-Luce”:[3],“(PL),”:[4],“one”:[5],“the”:[7,30,50,62,66,73,76,82,86101107142],“most”:[8],“basic”:[9],“ranking”:[10],“models,”:[11],“are”:[12],“an”:[13,391251 37],“活跃”:[14],“研究”:[15],“领域”:[16],“两者”:[18149],“理论”:[19],“和“:[20,49136151164],”实用“:[21],”意义。“:[22],“大多数”:[23],“以前”:[24],“建议”:[25],“参数”:[26],“估计”:[27],“算法”:[28,51,94],“实例化”:[29],“EM”:[31,63138],“演算法”:[32],“经常”:[33],“with”:34172],“随机”:[35],“初始化”。“:[36],”“然而,”:[37100],“这样”:[38],“初始化”:[40126],“方案”:[41],“可以”:[42104],“不”:[43],“收益率”:[44],“a”:[45,56113131173],“良好”:[46],“初始”:[47134],“估计”:[48103111135],“需要”:[52],“多次”:[53],“重启”,“:[54],“引发”:[55],“大型”:[57174],“时间”:[58],“复杂性”。“:[59],”As“:[60],”for“:[61],”procedure“:[64],”while“:65],”E-step“:[67],”can“:[68129],”be“:[69],”performed“:[70],”efficiency“:[71],”maximizing“:[72],”log-likelihood“:[74144],”in“:[75160],”M-step“:[77],”is“:[78158],”harouble“:[79],”due“:[80],”to“:[81166],“组合”:[83],“性质”:[84],“PL”:[87],“似然”:[88,98110],“函数”。“:[89],”因此,“:[90],”先前“:[91],”作者“:[92],”支持“:[93],”那“:[95128140155],”最大化“:[96],”代理“:[97],”函数。“:[99],”final“:[102],”deviation“:[105],”from“:[106],”true“:[108143],”maximum“:[109],”as“:[112],”sequence。“:[114],”In“:[115],”this“:[116],”paper“:[117],”we“:+118],”address“:[119],”these“:[120],”known“:[121],”limitions。“:[122],“We”:[123],“propose”:[124],“algorithm”:/127139157],“supply”:[130],“Provable”:[132],“recurate”:[133],“maximizes”:[141],“function”:[145],“efficiency”。“:[146],“实验”:[147],“关于”:[148170],“合成”:[150],“真实”:[152],“数据集”:[153171],“显示”:[154],“我们的”:[156],“竞争”:[159],“术语”:[161],“准确性”:[163],“速度”:[165],“基线”:[167],“算法”:[168],“特别是”:[169],“数字”:[175],“项目。“:[177]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4382318171“,”counts_by_year“:[],”updated_date“:”2024-05-22T05:22:01.015645“,”created_date:“2023-06-28”}“