{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T16:22:11Z","timestamp":1784996531976,"version":"3.55.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11401076"],"award-info":[{"award-number":["11401076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61473328"],"award-info":[{"award-number":["61473328"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1700704"],"award-info":[{"award-number":["2018YFB1700704"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council Projects","doi-asserted-by":"publisher","award":["FL-170100117"],"award-info":[{"award-number":["FL-170100117"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council Projects","doi-asserted-by":"publisher","award":["DP-180103424"],"award-info":[{"award-number":["DP-180103424"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council Projects","doi-asserted-by":"publisher","award":["IH-180100002"],"award-info":[{"award-number":["IH-180100002"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council Projects","doi-asserted-by":"publisher","award":["IC-190100031"],"award-info":[{"award-number":["IC-190100031"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council Projects","doi-asserted-by":"publisher","award":["LE-200100049"],"award-info":[{"award-number":["LE-200100049"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["DUT20LK38"],"award-info":[{"award-number":["DUT20LK38"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Talent Foundation Outstanding Young Individual Project"},{"DOI":"10.13039\/501100012435","name":"Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan","doi-asserted-by":"publisher","award":["CIT&TCD 201804078"],"award-info":[{"award-number":["CIT&TCD 201804078"]}],"id":[{"id":"10.13039\/501100012435","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008996","name":"Academy for Multidisciplinary Studies of Capital Normal University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008996","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/tnnls.2020.2995428","type":"journal-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T20:00:57Z","timestamp":1591300857000},"page":"1906-1919","source":"Crossref","is-referenced-by-count":8,"title":["Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0142-0280","authenticated-orcid":false,"given":"Chao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-5449","authenticated-orcid":false,"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4463-004X","authenticated-orcid":false,"given":"Tao","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingchen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36434-X_1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1214\/154957805100000104"},{"key":"ref33","first-page":"733","article-title":"A convex formulation for learning task relationships in multi-task learning","author":"zhang","year":"2010","journal-title":"Proc 26th Conf Annu Conf Uncertainty Artif Intell (UAI)"},{"key":"ref32","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00872"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1142\/S0219530516400054"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2641160"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2873649"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2690683"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623697"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.58"},{"key":"ref40","first-page":"527","article-title":"Covering number bounds of certain regularized linear function classes","volume":"2","author":"zhang","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2512598"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2865525"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5043-5"},{"key":"ref14","first-page":"117","article-title":"Bounds for linear multi-task learning","volume":"7","author":"maurer","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref15","first-page":"2853","article-title":"The benefit of multitask representation learning","volume":"17","author":"maurer","year":"2016","journal-title":"J Mach Learn Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2544314"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2802469"},{"key":"ref18","first-page":"921","article-title":"Kernels for multi-task learning","author":"micchelli","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/0899766052530802"},{"key":"ref28","article-title":"A linear algebraic reconstruction of majorization","author":"parker","year":"1997"},{"key":"ref4","first-page":"230","article-title":"Asymmetric multi-task learning based on task relatedness and loss","volume":"48","author":"lee","year":"2016","journal-title":"Proc 33rd Int Conf Int Conf Mach Learn"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1561\/2200000036"},{"key":"ref3","first-page":"1205","article-title":"Multi-task sparse structure learning with Gaussian copula models","volume":"17","author":"gon\u00e7alves","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0035"},{"key":"ref29","first-page":"789","article-title":"Stability bounds for stationary ?-mixing and ?-mixing processes","volume":"11","author":"mohri","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939834"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2477843"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2839114"},{"key":"ref2","first-page":"41","article-title":"Multi-task feature learning","volume":"19","author":"evgeniou","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939857"},{"key":"ref1","first-page":"1817","article-title":"A framework for learning predictive structures from multiple tasks and unlabeled data","volume":"6","author":"ando","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref46","first-page":"1","article-title":"Multi-class heterogeneous domain adaptation","volume":"20","author":"zhou","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref20","first-page":"714","article-title":"Bennett-type generalization bounds: Large-deviation case and faster rate of convergence","author":"zhang","year":"2013","journal-title":"Proc Conf Uncertainty of Artificial Intelligence"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0781-x"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_8"},{"key":"ref22","first-page":"615","article-title":"Learning multiple tasks with kernel methods","volume":"6","author":"evgeniou","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref47","article-title":"Concentration inequalities for bounded random vectors","author":"chen","year":"2013","journal-title":"arXiv 1309 0003"},{"key":"ref21","first-page":"351","article-title":"Risk bounds of learning processes for Lévy processes","volume":"14","author":"zhang","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref42","author":"zhou","year":"2011","journal-title":"MALSAR Multi-tAsk Learning Via StructurAl Regularization"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020423"},{"key":"ref41","first-page":"1548","article-title":"Convex learning of multiple tasks and their structure","volume":"37","author":"ciliberto","year":"2015","journal-title":"Proc 32nd Int Conf Int Conf Mach Learn"},{"key":"ref23","first-page":"1","article-title":"Multiplicative multitask feature learning","volume":"17","author":"wang","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref44","first-page":"861","article-title":"Multi-task active learning for linguistic annotations","author":"reichart","year":"2008","journal-title":"Proc ACL HLT"},{"key":"ref26","first-page":"793","article-title":"On the complexity of linear prediction: Risk bounds, margin bounds, and regularization","author":"kakade","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","first-page":"667","article-title":"Multi-task active learning with output constraints","author":"zhang","year":"2010","journal-title":"Proc 24th AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339672"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9420773\/09108567.pdf?arnumber=9108567","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:16Z","timestamp":1652194396000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9108567\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":48,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.2995428","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}