{"id":"https://openalex.org/W4389262287","doi":"https://doi.org/10.1093/comjnl/bxad089","title":"Online Optimization Method of Learning Process for Meta-Learning","display_name":"Online Optimization Method of Learning Process for Meta-Learning","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389262287","doi":"https://doi.org/10.1093/comjnl/bxad089"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxad089","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxad089","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072596372","display_name":"Zhixiong Xu","orcid":"https://orcid.org/0000-0003-0996-436X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiong Xu","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China"],"raw_orcid":"https://orcid.org/0000-0003-0996-436X","affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]},{"raw_affiliation_string":"Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414775","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0002-4700-1276"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766063","display_name":"Ailin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ailin Li","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034422188","display_name":"Feifei Zhao","orcid":"https://orcid.org/0000-0002-4156-2750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feifei Zhao","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103323488","display_name":"Yuanyuan Jing","orcid":"https://orcid.org/0009-0006-0357-5274"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanyuan Jing","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070929291","display_name":"Zheng Wan","orcid":"https://orcid.org/0000-0001-5352-3137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Wan","raw_affiliation_strings":["Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Academy of Border and Coastal Defence , Chang\u2019an District, Xi\u2019an, 710100 , China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078602454","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-6997-8504"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China"],"raw_orcid":"https://orcid.org/0000-0002-6997-8504","affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030992865","display_name":"Xiliang Chen","orcid":"https://orcid.org/0000-0001-5198-0932"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiliang Chen","raw_affiliation_strings":["Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China"],"raw_orcid":"https://orcid.org/0000-0001-5198-0932","affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA , Qinhuai District, Nanjing, 210001 , China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5072596372"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.487,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7202013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"67","issue":"5","first_page":"1645","last_page":"1651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9943000078201294,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9943000078201294,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9940000176429749,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/computer-science","display_name":"Computer science","score":0.8135454654693604},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7156299352645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7051836252212524},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6538116931915283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6481117010116577},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.5681076645851135},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5545246601104736},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.42421120405197144},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41342997550964355},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.363967627286911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8135454654693604},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7156299352645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7051836252212524},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6538116931915283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6481117010116577},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.5681076645851135},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5545246601104736},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.42421120405197144},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41342997550964355},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.363967627286911},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxad089","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxad089","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1522301498","https://openalex.org/W1542791059","https://openalex.org/W2151710526","https://openalex.org/W2427497464","https://openalex.org/W2472819217","https://openalex.org/W2498991332","https://openalex.org/W2578206533","https://openalex.org/W2594829461","https://openalex.org/W2595840341","https://openalex.org/W2606433045","https://openalex.org/W2742093937","https://openalex.org/W2762872434","https://openalex.org/W2774343553","https://openalex.org/W2787501667","https://openalex.org/W2794363191","https://openalex.org/W2963887494","https://openalex.org/W2978329087","https://openalex.org/W4234552385","https://openalex.org/W4295676892","https://openalex.org/W4300971732","https://openalex.org/W4365800129","https://openalex.org/W6631190155","https://openalex.org/W6678320312","https://openalex.org/W6718171111","https://openalex.org/W6727349600","https://openalex.org/W6736057607","https://openalex.org/W6736368053","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6745777752","https://openalex.org/W6746722632","https://openalex.org/W6748331328","https://openalex.org/W6750222692","https://openalex.org/W6751575707","https://openalex.org/W6751869817","https://openalex.org/W6755365793","https://openalex.org/W6760378562","https://openalex.org/W6763030259","https://openalex.org/W6766234440"],"related_works":["https://openalex.org/W3130669838","https://openalex.org/W2785397462","https://openalex.org/W4294873804","https://openalex.org/W4383109125","https://openalex.org/W2891227010","https://openalex.org/W4388481789","https://openalex.org/W1986633584","https://openalex.org/W4288086752","https://openalex.org/W2985282780","https://openalex.org/W4210507159"],"abstract_inverted_index":{"Abstract":[0],"Meta-learning":[1],"is":[2,28,85,143],"a":[3,29,34,77,99,158],"pivotal":[4],"and":[5,32,47,98,147],"potentially":[6],"influential":[7],"machine":[8],"learning":[9,79,96,138],"approach":[10,124],"to":[11,60,73,118,145],"solve":[12],"challenging":[13,162],"problems":[14,139],"in":[15,121],"reinforcement":[16,137],"learning.":[17],"However,":[18],"the":[19,71,89,108,114,122],"costly":[20],"hyper-parameter":[21,50,63,119],"tuning":[22],"for":[23,81],"training":[24,83],"stability":[25],"of":[26,36,161],"meta-learning":[27,67,101,131,155],"known":[30],"shortcoming":[31,42],"currently":[33],"hotspot":[35],"research.":[37],"This":[38],"paper":[39],"addresses":[40],"this":[41],"by":[43],"introducing":[44],"an":[45],"online":[46,62],"easily":[48],"trainable":[49],"optimization":[51,110],"approach,":[52],"called":[53],"Meta":[54],"Parameters":[55],"Learning":[56],"via":[57],"Meta-Learning":[58],"(MPML),":[59],"combine":[61],"adjustment":[64],"scheme":[65],"into":[66],"algorithm,":[68],"which":[69],"reduces":[70],"need":[72],"tune":[74],"hyper-parameters.":[75],"Specifically,":[76],"basic":[78,95],"rate":[80,97,102],"each":[82],"task":[84],"put":[86],"forward.":[87],"Besides,":[88],"proposed":[90,123],"algorithm":[91,142],"dynamically":[92],"adapts":[93],"multiple":[94],"shared":[100],"through":[103],"conducting":[104],"gradient":[105],"descent":[106],"alongside":[107],"initial":[109],"steps.":[111],"In":[112],"addition,":[113],"sensitivity":[115],"with":[116,129],"respect":[117],"choices":[120],"are":[125],"also":[126],"discussed":[127],"compared":[128],"model-agnostic":[130],"method.":[132],"The":[133],"experimental":[134],"results":[135],"on":[136,157],"demonstrate":[140],"MPML":[141],"easy":[144],"implement":[146],"delivers":[148],"more":[149],"highly":[150],"competitive":[151],"performance":[152],"than":[153],"existing":[154],"methods":[156],"diverse":[159],"set":[160],"control":[163],"tasks.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}