{“id”:“https://openalex.org/W2293706247“,”doi“:”https://doi.org/10.1007/978-3-319-18038-0_35“,”title“:“矩阵分解随机梯度方法的学习速率表”,“display_name”:“矩阵因子分解随机梯度法的学习速率计划”,“publication_year”:2015,“publiation_date”:“2015-01-01”,“ids”:{“openalex”:“https://openalex.org/W2293706247“,”doi“:”https://doi.org/10.1007/978-3-319-18038-0_35“,”mag“:”2293706247“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-319-18038-0_35“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”display_name“:”计算机科学讲义“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false、”is_in_doaj“:false、”is_core“:true、”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],“open_access”:{“is_oa”:true,“oa_status”:“green”,“oa_url”:http://www.csie.ntu.edu.tw/%7Ecjlin/papers/libmf/mf_adaptive_pakdd.pdf“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5047750428“,”display_name“:”魏圣钦“,”orcid“:null},”机构“:[{”id“:”https://openalex.org/I16733864“,”display_name“:”国立台湾大学“,”ror“:”https://ror.org/05bqach95“,”country_code“:”TW“,”type“:“教育”,”世系“:[”https://openalex.org/I16733864“]}],”countries“:[”TW“],”is_corresponding“:false,”raw_author_name“:”Wei-Sheng Chin“,”raw _ afiliation_strings“:【”台湾台北国立科技大学计算机科学系“】,”affiliations“:[{”raw_ afiliation _string“:”台湾台北州立科技大学计算机系“,”institution_ids“:[“”https://openalex.org/I16733864“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5031843438“,”display_name“:”永庄“,”兽人“:”https://orcid.org/0000-0002-4324-1571},“机构”:[{“id”:https://openalex.org/I16733864“,”display_name“:”国立台湾大学“,”ror“:”https://ror.org/05bqach95“,”country_code“:”TW“,”type“:“教育”,”世系“:[”https://openalex.org/I16733864“]}],”国家“:[”TW“],”is_corresponding“:false,”raw_author_name“:”Yong Zhuang“,”raw _affiliation_strings“:[“台湾台北国立科技大学计算机科学系”],”affiliations“:[{”raw _affiliation_string“:”台湾台北国立科学大学计算机科学学院”,“institution_ids”:[“https://openalex.org/I16733864“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5084411084“,”display_name“:”Yu-Chin Juan“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I16733864“,”display_name“:”国立台湾大学“,”ror“:”https://ror.org/05bqach95“,”country_code“:”TW“,”type“:“教育”,”世系“:[”https://openalex.org/I16733864“]}],”国家“:[”TW“],”is_corresponding“:false,”raw_author_name“:”Yu-Chin Juan“,”raw _affiliation_strings“:[“台湾台北国立科技大学计算机科学系”],”affiliations“:[{”raw _affiliation_string“:”台湾台北国立科学大学计算机科学部”,“institution_ids”:[“https://openalex.org/I16733864“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5068223640“,”display_name“:”Chih\u2010Jen Lin“,”orcid“:”https://orcid.org/0000-0003-4684-8747},“机构”:[{“id”:https://openalex.org/I16733864“,”display_name“:”国立台湾大学“,”ror“:”https://ror.org/05bqach95“,”country_code“:”TW“,”type“:“教育”,”世系“:[”https://openalex.org/I16733864“]}],”国家“:[”TW“],”is_corresponding“:false,”raw_author_name“:”Chih-Jen Lin“,”raw_affiliation_strings“:[“台湾台北国立科技大学计算机科学系”],”affiliations“:[{”raw_affiliation_string“:”台湾台北国立科学大学计算机科学学院”,“institution_ids”:[“https://openalex.org/I16733864“]}]}],”countries_distinact_count“:1,”institutions_disticant_count”:1,“corresponding_author_ids”:[],”correspounding_institution_ids“:[]、”apc_list“:{”value“:5000,”currency“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc_payed“:null,”fwci“:10.696,”has_fulltext“:true,”fulltext_origin“:”ngrams“,”cited _by_count“:51,”引用的_by_percentile_year“:{”最小值“:96,”max“:97},”biblio“:{”volume“:null,”issue“:nul,”first_page“:”442“,”last_page“:”455“},“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T11612“,”display_name“:”机器学习中的优化方法“,”score“:0.9986,”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/T11612“,”“display_name”:“机器学习中的优化方法”,“score”:0.9986,“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/T10057“,”“display_name”:“人脸识别和降维技术”,“score”:0.9978,“subfield”:{“id”:“https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”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/T10500“,”display_name“:”压缩传感理论与应用“,”score“:0.9974,”subfield“:{”id“:”https://openalex.org/subfields/2206“,”display_name“:”计算力学“},”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/convex优化“,”display_name“:”凸优化“,”score“:0.535345},{”id“:”https://openalex.org/keywords/非负矩阵分解“,”“display_name”:“非负矩阵分解”,“score”:0.508162},{“id”:“https://openalex.org/keywords/large-scale-optimization网站“,”display_name“:”大型优化“,”score“:0.507475},{”id“:”https://openalex.org/keywords/matrix-completion“,”display_name“:”矩阵完成“,”score“:0.503577}],”concepts“:[{”id“:”https://openalex.org/C68387754,“wikidata”:https://www.wikidata.org/wiki/Q7271585(网址:https://www.wikidata.org/wiki/Q7271585)“,”display_name“:”Schedule“,”level“:2,”score“:0.7783561},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7552698},{”id“:”https://openalex.org/C187834632,“wikidata”:https://www.wikidata.org/wiki/Q188804“,”display_name“:”因式分解“,”level“:2,”score“:0.5588194},{”id“:”https://openalex.org/C42355184,“wikidata”:https://www.wikidata.org/wiki/Q1361088网址“,”display_name“:”矩阵分解“,”level“:3,”score“:0.5375549},{”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“:0.50072694},{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.48266295},{”id“:”https://openalex.org/C206688291,“wikidata”:https://www.wikidata.org/wiki/Q7617819“,”display_name“:”随机梯度下降“,”level“:3,”score“:0.43172854},{”id“:”https://openalex.org/C57869625,“wikidata”:https://www.wikidata.org/wiki/Q1783502“,”display_name“:”收敛速度“,”level“:3,”score“:0.4129874},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.32557583},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.31231266},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.17109513},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.07756552},{”id“:”https://openalex.org/C26517878,“wikidata”:https://www.wikidata.org/wiki/Q228039“,”display_name“:”Key(lock)“,”level“:2,”score“:0.05574748},{”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“:0.0},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”Physics“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C192562407,“wikidata”:https://www.wikidata.org/wiki/Q228736网址“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C38652104,“wikidata”:https://www.wikidata.org/wiki/Q3510521“,”display_name“:”计算机安全“,”level“:1,”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/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材料“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C111919701,“wikidata”:https://www.wikidata.org/wiki/Q9135“,”display_name“:”操作系统“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-319-18038-0_35“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”display_name“:”计算机科学讲义“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false、”is_in_doaj“:false、”is_core“:true、”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},{“is_oa”:true,“landing_page_url”:“http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.716.858,“pdf_url”:http://www.csie.ntu.edu.tw/%7Ecjlin/papers/libmf/mf_adapive_pakdd.pdf,“源”:{“id”:https://openalex.org/S4306400349“,”display_name“:”CiteSeer X(The Pennsylvania State University)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/I130769515“,”“host_organization_name”:“宾夕法尼亚州立大学”,“host_ordanization_lineage”:[“https://openalex.org/I130769515“],”host_organization_lineage_names“:[”宾夕法尼亚州立大学“],”type“:”repository“},”license“:null,”license_id“:null,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false}],”best_oa_location“:{”is_oa“:true,”landing_page_url“:”http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.716.858,“pdf_url”:http://www.csie.ntu.edu.tw/%7Ecjlin/papers/libmf/mf_adaptive_pakdd.pdf,“源”:{“id”:https://openalex.org/S4306400349“,”display_name“:”CiteSeer X(The Pennsylvania State University)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/I130769515“,”“host_organization_name”:“宾夕法尼亚州立大学”,“host_ordanization_lineage”:[“https://openalex.org/I130769515“],”host_organization_lineage_names“:[”Pennsylvania State University“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false},”sustainable_development_goals“:[],“grants”:[]、“datasets”:[],“versions”:[】,“referenced_works_count”:14,“referrenced_works”https://openalex.org/W1486317198","https://openalex.org/W1902027874","https://openalex.org/W1980147176","https://openalex.org/W1994616650","https://openalex.org/W2009797711","https://openalex.org/W2013029404","https://openalex.org/W2020098476","https://openalex.org/W2022712430","https://openalex.org/W2033245860","https://openalex.org/W2038559942","https://openalex.org/W2054141820","https://openalex.org/W2112284959","https://openalex.org/W2121966774","https://openalex.org/W2165949563“],”related_works“:[”https://openalex.org/W4382937879","https://openalex.org/W4206119629","https://openalex.org/W3002546633","https://openalex.org/W2964170259","https://openalex.org/W2950281908","https://openalex.org/W2794559785","https://openalex.org/W2765682467","https://openalex.org/W1973739845","https://openalex.org/W1754499339","https://openalex.org/W119752240“],”ngrams_url“:”https://api.openalex.org/works/W2293706247/ngrams网站“,”“abstract_inverted_index”:{“随机”:[0],“梯度”:[1,20],“方法”:[2],“是”:[3],“有效”:[4],“to”:[5,73110],“求解”:[6],“矩阵”:[7,63113122],“因式分解”:[8114123],“问题。”[15,68,93],“the”:[16,25,36,69,82,95116],“performance”:[17],“of”:[18],“随机“:[19],”方法“:[21],”高度“:[22],”依赖“:[23],”依赖于“:[24,46,85,98],”学习“:[26,52,99],”速率“:[27,53100],”时间表“:[28,32,61,71,80109],”已使用;“:[29],”a“:[30,51,59111],”良好“:[31],”可以“:[33102],”显著“:[34104],”提升“:[35],”培训“:[37],”过程。“:[38],”In“:[39],”this“:[40108],”paper“:[41],”motivated“:[42],”from“:[43],”past“:[44],”works“:%45],”convertive“:[47],”optimization“:[48],”which“:[49],”assign“:50],”for“:[54,62],”each“:[55],”variable“:[56],”we“:57],”propose“:[58],”new“:60],”化。“:[64],”The“:[65],”experimentas“:[66],”demove“:[67],”proposed“:[70],”leads“:[72],”更快“:[74],”convergence“:[75],”than“:[76],”existing“:[77],”ones。“:[78],“我们的”:[79],“使用”:[81],“相同”:[83],“参数”:[84],“全部”:[86],“数据”:[87],“集合”:[88],“包含”:[89],“in”:[90],“Our”:[91],“实验;“:[92],”is,“:[94],”time“:[96],”spended“:[97],”selection“:[101],”be“:[103],”reduced“。“:[105],”By“:[106],”application“:[107],”最新技术“:[112],”package“:[115],”resulting“:[117],”implementation“:+118],”excellenters“:[119],”available“:[120],”parallel“:[121],”packages。“:[124]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2293706247“,”counts_by_year“:[{年:2024,”cited_by_count“:1},{年“:2023,”cited_by_count”:5},“年”:2022,“年份”:2017,“引用_ by_count”:5},{“年份”:2016,“引用_by_counts”:9},}“年份“:2015,”引用_ by-count“:3}],“updated_date”:“2024-06-26T15:06:31.647573”,“创建日期”:“2016-06-24”}