{“id”:“https://openalex.org/W4366835692“,”doi“:”https://doi.org/10.44850/arxiv.204.11005“,”title“:“通过贝叶斯主动学习进行贝叶斯自校正优化”,”display_name“:”通过贝叶斯主动学习进行贝氏自校正优化“,”publication_year“:2023,”publiation_date“:”2023-01-01“,”ids“:{”openalex“:”https://openalex.org/W4366835692“,”doi“:”https://doi.org/10.48550/arxiv.2304.11005“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2304.11005“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:null,”is_accepted“:false,”is_published“:false},”type“:预打印”,”type_crossref“:”journal-article“,”indexed_in“:[”arxiv“,”datacite“],”open_access“:{”is_oa“:true,”oa_status“:”green“,”oa_url“:”https://arxiv.org/abs/2304.11005“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5069208444“,”display_name“:”Carl Hvarfner“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Hvarfnel,Carl“,”raw _affiliation_string“:[]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5061172262“,”display_name“:”Erik Hellsten“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Hellsten,Erik“,“raw_affiliation_strings”:[]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5031002895“,”display_name“:”Frank Hutter“,”orcid“:”https://orcid.org/0000-0002-2037-3694“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Hutter,Frank“,”raw关联字符串“:[]},{“author_position”:“last”,“author”:{“id”:“”https://openalex.org/A5008975166“,”display_name“:”Luigi Nardi“,”orcid“:”https://orcid.org/0000-0002-4601-2264“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Nardi,Luigi“,”raw关联字符串“:[]}],”countries_distict_count“:0,”机构_distiction_count“:0.,”对应的_author_ids“:[],“对应的_institution_ids”:[]0,“cited_by_percentile_year“:{“min”:0,“max”:78},“biblio”:{卷:null,“问题”:nullhttps://openalex.org/T12072“,”“display_name”:“机器学习研究中的主动学习”,“score”:0.9982,“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“:”Physical Sciences“}},”topics“:[{”id“:”https://openalex.org/T12072“,”“display_name”:“机器学习研究中的主动学习”,“score”:0.9982,“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/T12814“,”display_name“:”机器学习中的高斯过程“,”score“:0.9962,”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/T12535“,”“display_name”:“机器学习中带噪声标签的学习”,“score”:0.9842,“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“}}],”关键词“:[{”id“:”https://openalex.org/keywords/semi-supervised-learning网站“,”display_name“:”半监督学习“,”score“:0.560008},{”id“:”https://openalex.org/keywords/hyperparameter-optimization网站“,”display_name“:”超参数优化“,”score“:0.551619},{”id“:”https://openalex.org/keywords/active-learning网站“,”display_name“:”主动学习“,”score“:0.539695},{”id“:”https://openalex.org/keywords/robust-learning“,”display_name“:”稳健学习“,”score“:0.525442},{”id“:”https://openalex.org/keywords/meta-learning“,”display_name“:”Meta-Learning“,”score“:0.519515}],”concepts“:[{”id“:”https://openalex.org/C8642999,“wikidata”:https://www.wikidata.org/wiki/Q4171168“,”display_name“:”Hyperparameter“,”level“:2,”score“:0.95342064},{”id“:”https://openalex.org/C2778049539,“wikidata”:https://www.wikidata.org/wiki/Q17002908“,”display_name“:”贝叶斯优化“,”level“:2,”score“:0.85514474},{”id“:”https://openalex.org/C107673813,“wikidata”:https://www.wikidata.org/wiki/Q812534“,”display_name“:”贝叶斯概率“,”level“:2,”score“:0.6923621},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.6371664},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.62569433},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.6240448},{”id“:”https://openalex.org/C10485038,“wikidata”:https://www.wikidata.org/wiki/Q48996162“,”display_name“:”超参数优化“,”level“:3,”score“:0.5647456},{”id“:”https://openalex.org/C61326573,“wikidata”:https://www.wikidata.org/wiki/Q1496376“,”display_name“:”高斯过程“,”level“:3,”score“:0.45586115},{”id“:”https://openalex.org/C101112237,“wikidata”:https://www.wikidata.org/wiki/Q4874481“,”display_name“:”贝叶斯统计“,”level“:4,”score“:0.44309348},{”id“:”https://openalex.org/C71983512,“wikidata”:https://www.wikidata.org/wiki/Q7915687“,”display_name“:”可变阶贝叶斯网络“,”level“:4,”score“:0.4311561},{”id“:”https://openalex.org/C160234255,“wikidata”:https://www.wikidata.org/wiki/Q812535“,”display_name“:”贝叶斯推断“,”level“:3,”score“:0.41554886},{”id“:”https://openalex.org/C163716315,“wikidata”:https://www.wikidata.org/wiki/Q901177“,”display_name“:”Gaussian“,”level“:2,”score“:0.36659968},{”id“:”https://openalex.org/C12267149,“wikidata”:https://www.wikidata.org/wiki/Q282453“,”display_name“:”支持向量机“,”level“:2,”score“:0.06732446},{”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/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2304.11005“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”版本“:null,”is_accepted“:false,”is_published“:false},{”is_oa“:false,”landing_page_url“:”https://api.datacite.org/dois/10.48550/arxiv.2304.11005“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4393179698“,”display_name“:”DataCite API“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I4210145204“,”host_organization_name“:”DataCite“,”host_organization_lineage“:[”https://openalex.org/I4210145204“],”host_organization_lineage_names“:[”DataCite“],“type”:“metadata”},“license”:null,“licence_id”:null,“version”:null}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://arxiv.org/abs/2304.11005“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:null,”is_accepted“:false,”is_published“:false},”sustainable_development_goals“:[{”score“:0.48,”id“:”https://metadata.un.org/sdg/4“,”display_name“:”素质教育“}],”grants“:[],”datasets“:【】,”versions“:【],”referenced_works_count“:0,”referrenced_works“:[],”related_work斯“:[”https://openalex.org/W4286902601“,”https://openalex.org/W3206613651“,”https://openalex.org/W3169687406“,”https://openalex.org/W3103707007“,”https://openalex.org/W2996585552“,”https://openalex.org/W2963001956“,”https://openalex.org/W2906178137“,”https://openalex.org/W2405673391“,”https://openalex.org/W2395916875“,”https://openalex.org/W2200000192“],”ngrams_url“:”https://api.openalex.org/works/W4366835692/ngrams网站“,”“abstract_inverted_index”:{“Gaussian”:[0],“process”:[1],“are”:[2,15],“the”:[3,37,41,65,71,81111123134],“model”:[4112],“of”:[5,43136],“choice”:[6],“in”:[7,36,83],“Bayesian”:[8,84,95103125140],“optimization”:[9104141],“and”:[10,27,49105],“active”:[11,85106],“learning”:[12,58],“然而”:[13],“他们”:[14],“高度”:[16],“依赖”:[17],“on”:[18,87128138],“clearly”:[19],“selected”:[20],“hyperparameters”:[21,35,46113],“to”:[22,32101118],“reach”:[23],“their”:[24],“full”:[25],“potential”:[26],“little”:[28],“effect”:[29],”is“:[30],“dedicated”:[31],“finding”:[33],“good”:[34,45],“文学”:[38],“我们”:[39,91],“演示”:[40133],“影响”:[42],“选择”:[44],“用于”:[47],“GP”:[48],“当前”:[50],“两个”:[51],“获取”:[52],“函数”:[53],“那”:[54],“显式”:[55],“优先级”:[56],“超参数”:[57],“统计”:[59],“基于距离”:[60],“活动”:[61],“学习”:[62],“(SAL)”:[63],“考虑”:[64],“平均”:[66],“分歧”:[67],“介于”:[68],样本“:[69],”来自“:[70],”后,“:[72],”as“:[73],“测量”:[74],“依据”:[75],“a”:[76],“统计”:[77],“距离。”:[78],“SAL”:[79100],“超越”:[80],“最先进”:[82],“学习”:[86107],“多个”:[88],“测试”:[89],“功能。”:90],“然后”:[92],“引入”:[93],“自我修正”:[94],“优化”:[96],“(SCoreBO),”:[97],“其中”:[98],“扩展”:[99],“执行”:[102],“同时”:[108],“SCoreBO”:[109],“learns”:[110],“at”:[114],“improved”:[115],“rates”:[116],“compared”:117],“vanilla”:[119],“BO,”:[120],“while”:121],“exterming”:[122],“latest”:[124],“methods”:[127],“traditional”:[129],“benchmarks。”:[130],“此外,”:131],“we”:%132],“重要性”:[135],“self更正“:[137],“非典型”:[139],“任务”:[142]},“cited_by_api_url”:“https://api.openalex.org/works?filter=cites:W4366835692“,”counts_by_year“:[],”updated_date“:”2024-05-25T13:24:14.538083“,”created_date:“2023-04-25”}“