{“id”:“https://openalex.org/W2904398352“,”doi“:”https://doi.org/10.1609/aaai.v33i01.33015016“,”title“:”Low-Rank and Sparse Decomposition的部分多标签学习“,”display_name“:”Propartial Multi-Label Learning by Low-Range and Sparse-Deposition“,”publication_year“:2019,”publitation_date“:”2019-07-17“,”ids“:{”openalex“:”https://openalex.org/W2904398352“,”doi“:”https://doi.org/10.1609/aaai.v33i01.33015016“,”mag“:”2904398352“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.1609/aaai.v33i01.33015016,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/4433/4311,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“: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“:[”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.aaai.org/index.php/aaai/article/download/4433/4311“,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A504646572“,”display_name“:”孙丽娟“,”兽人“:”https://orcid.org/0000-0003-2873-9803},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”孙丽娟“,”raw_affiliation_strings“:[“北京交通大学”],”隶属关系“:[{”raw_affiliation_string“:”北京交通大学“,”institution_ids“:https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5085406955“,”display_name“:”松鹤峰“,”兽人“:”https://orcid.org/0000-0002-5922-9358},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”宋和峰“,”raw _affiliation_strings“:[“北京交通大学”],”所属单位“:[{”raw _affiliation_string“:”北京交通大学“,”机构ID“:[https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5100453676“,”display_name“:”Tao Wang“,”orcid“:”https://orcid.org/0000-0003-2369-2129},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Tao Wang“,”rau_affiliation_strings“:[“北京交通大学”],”affiliations“:[{”raw_affiliation_string“:”北京交通大学“,”institution_ids“:”https://openalex.org/I21193070“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5023442981“,”display_name“:”从严郎“,”兽人“:”https://orcid.org/0000-0001-6059-7943},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”从严郎“,”raw _ afiliation_strings“:[“北京交通大学”],”隶属关系“:[{”raw _affiliation_string“:”北京交通大学“,”institution_ids“:”https://openalex.org/I21193070“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5033896100“,”display_name“:”Yi Jin“,”orcid“:”https://orcid.org/0000-0001-8408-3816},“机构”:[{“id”:https://openalex.org/I21193070“,”display_name“:”北京交通大学“,”ror“:”https://ror.org/01yj56c84“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I21193070“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Yi Jin“,”raw _affiliation_strings“:[“北京交通大学”],”affiliations“:[{”raw_affiliation_string“:”北京交通大学“,”institution_ids“:https://openalex.org/I21193070“]}]}],”institution_assertions“:[],”countries_distiction_count“:1,”institutions_disticent_count”:1,“corresponding_author_ids”:[]、“corresconding_institution_ids“:[].”apc_list“:null,”apc_payed“:null,”fwci“:3.335,”has_fulltext“:true,”fulltext_origin“:”pdf“,”cited_by_count:81,“citation_normalized_percentile”:{“value”:0.9999.09,“is_in_top_1_percent”:真,“is_in_top_10_percent“:true},”cited_by_percentile_year“:{”min“:98,”max“:99},“biblio”:{“volume”:“33”,“issue”:“01”,“first_page”:“5016”,“last_page”:”5023“}”,“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T11550“,”display_name“:”机器学习中的多标签文本分类“,”score“:0.9961,”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/T11550“,”“display_name”:“机器学习中的多标签文本分类”,“score”:0.9961,“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/T13731“,”display_name“:”通过空间网络分析的城市结构动力学“,”score“:0.9745,”subfield“:{”id“:”https://openalex.org/subfields/3322“,”display_name“:”城市研究“},”字段“:{”id“:”https://openalex.org/fields/33“,”display_name“:”社会科学“},”域“:{”id“:”https://openalex.org/domains/2“,”“display_name”:“社会科学”}},{”id“:”https://openalex.org/T13717“,”display_name“:”控制系统和网络应用“,”score“:0.9291,”subfield“:{”id“:”https://openalex.org/subfields/2207“,”display_name“:”控制与系统工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/overfitting网站“,”display_name“:”Overfitting“,”score“:0.7356791},{”id“:”https://openalex.org/keywords/multi-label-learning网站“,”display_name“:”多标签学习“,”score“:0.669538},{”id“:”https://openalex.org/keywords/machine-learning算法“,”display_name“:”机器学习算法“,”score“:0.519049},{”id“:”https://openalex.org/keywords/matrix-completion“,”display_name“:”矩阵完成“,”score“:0.47438362},{”id“:”https://openalex.org/keywords/matrix网站“,”display_name“:”矩阵(化学分析)“,”分数“:0.46198353},{”id“:”https://openalex.org/keywords/multi-label分类“,”display_name“:”多标签分类“,”score“:0.4481817},{”id“:”https://openalex.org/keywords/rank“,”display_name“:”Rank(图论)“,”score“:0.4375195}],”concepts“:[{”id“:”https://openalex.org/C22019652,“wikidata”:https://www.wikidata.org/wiki/Q331309“,”display_name“:”Overfitting“,”level“:3,”score“:0.7356791},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.63817996},{”id“:”https://openalex.org/C56372850,“wikidata”:https://www.wikidata.org/wiki/Q1050404“,”display_name“:”稀疏矩阵“,”level“:3,”score“:0.5804496},{”id“:”https://openalex.org/C42355184,“wikidata”:https://www.wikidata.org/wiki/Q1361088“,”display_name“:”矩阵分解“,”level“:3,”score“:0.48549488},{”id“:”https://openalex.org/C2778459887,“wikidata”:https://www.wikidata.org/wiki/Q6787865“,”display_name“:”矩阵完成“,”level“:3,”score“:0.47438362},{”id“:”https://openalex.org/C106487976,“wikidata”:https://www.wikidata.org/wiki/Q685816“,”display_name“:”矩阵(化学分析)“,”级别“:2,”分数“:0.46198353},{”id“:”https://openalex.org/C2776482837,“wikidata”:https://www.wikidata.org/wiki/Q3553958“,”display_name“:”多标签分类“,”level“:2,”score“:0.4481817},{”id“:”https://openalex.org/C177264268,“wikidata”:https://www.wikidata.org/wiki/Q1514741“,”display_name“:”Set(abstract data type)“,”level“:2,”score“:0.44523084},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.439796},{”id“:”https://openalex.org/C164226766,“wikidata”:https://www.wikidata.org/wiki/Q7293202“,”display_name“:”Rank(图论)“,”level“:2,”score“:0.4375195},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.4011759},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.37774485},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.32983977},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395网址“,”display_name“:”数学“,”等级“:0,”分数“:0.24013555},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.08229488},{”id“:”https://openalex.org/C158693339,“wikidata”:https://www.wikidata.org/wiki/Q190524“,”display_name“:”特征值和特征向量“,”level“:2,”score“:0.08182895},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”物理“,”级别“:0,”分数“:0.0},{”id“:”https://openalex.org/C192562407,“wikidata”:https://www.wikidata.org/wiki/Q228736“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C114614502,“wikidata”:https://www.wikidata.org/wiki/Q76592“,”display_name“:”组合数学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材料“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C163716315,“wikidata”:https://www.wikidata.org/wiki/Q901177“,”display_name“:”Gaussian“,”level“:2,”score“: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.v33i01.33015016,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/4433/4311,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“: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.v33i01.33015016,“pdf_url”:https://ojs.aaai.org/index.php/aaai/article/download/4433/4311,“源”:{“id”:https://openalex.org/S4210191458“,”“display_name”“:”“AAAI人工智能会议记录”“,”issn_l“:”2159-5399“,”isn“:[”21595599“,”2374-3468“],”is_oa“:true,”is_ in_doaj“:false,”is_core“: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“:[”人工智能促进会“],”type“:”conference“},”license“:null,”license_id“:null,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”sustainable_development_goals“:[],”grants“:[],”dataset“:[],”version“:[],”referenced_works_count“:33,”referenced_works“:[”https://openalex.org/W1565746575","https://openalex.org/W1592096085","https://openalex.org/W2019899889","https://openalex.org/W2025335430","https://openalex.org/W2042759724","https://openalex.org/W2052684427","https://openalex.org/W2078120539","https://openalex.org/W2090630554","https://openalex.org/W2103972604","https://openalex.org/W2114315281","https://openalex.org/W2118120419","https://openalex.org/W2118712128","https://openalex.org/W2120387782","https://openalex.org/W2129144539","https://openalex.org/W2132509897","https://openalex.org/W2135733005","https://openalex.org/W2138290126","https://openalex.org/W2140335411","https://openalex.org/W2145241906","https://openalex.org/W2157888812","https://openalex.org/W2160569988","https://openalex.org/W2166912588","https://openalex.org/W2205224283","https://openalex.org/W2285223868","https://openalex.org/W2359108789","https://openalex.org/W2733555913","https://openalex.org/W2745660053","https://openalex.org/W2788462285","https://openalex.org/W2788764852","https://openalex.org/W2951085447","https://openalex.org/W2997519153","https://openalex.org/W4230451635","https://openalex.org/W79405465“],”related_works“:[”https://openalex.org/W4362597605","https://openalex.org/W4294691692","https://openalex.org/W3103289951","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W2898722594网址","https://openalex.org/W2789229307","https://openalex.org/W2557895864","https://openalex.org/W2125326641","https://openalex.org/W1574414179“],”abstract_inverted_index“:{”Multi-Label“:[0],”Learning“:[1,70118],”(MLL)“:[2],”aims“:[3],”to“:[4,34,75,95157166176188192220],”learn“:[5],”from“:[6,86197],”the“the”:[7,36,46,82,83,87,98106130162172178184194203208212222],”training“:[8],”data“:[9,51],”where“:[10152211],“each”:[11],“example”:[12],“is”:[13,52,73155164218],“表示“:[14],”由“:[15,61119],”a“:[16,22,66114135143],”single“:[17],”instance“:[18],”while“:[19],”associated“:[20],”with“:[21,77],”set“:[2133],”of“:[24,38101],”candidate“:[25],”标签。“:[26,40],”大多数“:[27],”现有“:[28],”MLL“:[29,63],”方法“:[30],”是“:[31],”通常“:[32],”设计“:[33],”句柄“:[35],”问题“:[37],”缺少“:[39],”然而,“:[41],”in“:[42,93],”许多“:[43],”真实世界“:[44],”场景“:[45],”标签“:[47],”信息“:[48],“for”:[49],“multi-label”:[50,88],“always”:[53],“redundant”:[54],“,”:[55],“其中“:[56],“可以”:[57231],“不”:[58],“是”:[59158167189],“已解决”:[60],“经典”:[62],“方法”,“:[64],“因此”:[65],“新”:[67115],“部分”:[68116],“多标签”:[69117],“(PML)”:[71],“框架”:[72],“建议”:[74195],“范围”:[76],“这样”:[78],“问题”:[79],“即”:[80],“删除”:[81],“噪音”:[84],“标签”:[85205],“集合。“:[89],”In“:[90],”this“:[91],”paper“:[92],”order“:[94],”further“:/96],”improve“:[97],”去噪“:[99],”capability“:[100],”PML“:[102],”framework,“:[103],”we“:[104127170201],”use“:[105171],”low rank“:[107],”and“:[108112121138147161181],”sparse“:[109],”decomposition“123],“方案”:[111],“提议”:[113],“低利率”:[120],“稀疏“:[122],”(PML-LRS)“:[124],”进近。“:[125],”具体来说,“:[126],”first“:[128],”reformulate“:[129],”observed“:[131],”label“:[132136145150179209],”into“:[134142],”matrix“:[137151],”then“:[139],”decompose“:[140],”it“:[141],”groundtrue“:[144],”矩阵“:[146175187],”an“:[148],”inrelevanted“:[149],”former“:[154],”constrained“:%156],”低”:[159190],“等级”:[160191],“后者”:[163],“假定”:[165],“稀疏”:[168],“下一步”:[169],“特征”:[173185],“映射”:[174186],“探索”:[177],“相关性”:[180],“同时”:[182],“约束”:[183],“防止”:[193],“方法”:[196],“存在”:[198],“过拟合”:[199],“最终”:[200],“获取”:[202],“基础”:[204],“通过”:[206],“最小化”:[207],“损失”:[210],“增加”:[213],“拉格朗日”:[214],“乘数”:[215],“(ALM)”:[216],“算法”:[217],“合并”:[219],“求解”:[221],“优化”:[223],“问题。”:[224],“巨大”:[225],“实验”:[226],“结果”:[227],“证明”:[228],“那”:[229],“PML-LRS”:[230],“实现”:[232],“优越”:[233],“或“:[234],”竞争“:[235],”性能“:[236],”对抗“:[237],“其他”:[238],“最先进”:[239],“方法。”:[240]},“引用_by_api_url”:“https://api.openalex.org/works?filter=cites:W2904398352“,”counts_by_year“:[{年:2024,”cited_by_count“:14},{年“:2023,”cited_by_count”:19},“年”:2022,7“,”创建日期“:”2018-12-22“}