{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T20:43:52Z","timestamp":1774471432193,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["Z200001"],"award-info":[{"award-number":["Z200001"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11971478"],"award-info":[{"award-number":["11971478"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC and the Shenzhen Research Institute, City University of Hong Kong","doi-asserted-by":"publisher","award":["11871411"],"award-info":[{"award-number":["11871411"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Hong Kong RGC General Research Fund","doi-asserted-by":"publisher","award":["11301718"],"award-info":[{"award-number":["11301718"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Hong Kong RGC General Research Fund","doi-asserted-by":"publisher","award":["11300519"],"award-info":[{"award-number":["11300519"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Hong Kong RGC General Research Fund","doi-asserted-by":"publisher","award":["11300721"],"award-info":[{"award-number":["11300721"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Hong Kong RGC General Research Fund","doi-asserted-by":"publisher","award":["11311822"],"award-info":[{"award-number":["11311822"]}],"id":[{"id":"10.13039\/501100002920","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":[[2024,5]]},"DOI":"10.1109\/tnnls.2022.3212390","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:01:34Z","timestamp":1667512894000},"page":"6643-6653","source":"Crossref","is-referenced-by-count":13,"title":["Distributed Estimation of Support Vector Machines for Matrix Data"],"prefix":"10.1109","volume":"35","author":[{"given":"Wangli","family":"Xu","sequence":"first","affiliation":[{"name":"Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China"}]},{"given":"Jiamin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6008-6614","authenticated-orcid":false,"given":"Heng","family":"Lian","sequence":"additional","affiliation":[{"name":"Department of Mathematics, City University of Hong Kong, Kowloon Tong, Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0711-5"},{"key":"ref2","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"Bishop","year":"2006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027062"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3053266"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3097248"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041947"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3125955"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.01.038"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001226"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1214\/12-EJS760"},{"key":"ref13","first-page":"10131","article-title":"Generalization error rates in kernel regression: The crossover from the noiseless to noisy regime","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Cui"},{"key":"ref14","article-title":"Error rates for kernel classification under source and capacity conditions","volume-title":"arXiv:2201.12655","author":"Cui","year":"2022"},{"key":"ref15","first-page":"938","article-title":"Support matrix machines","volume-title":"Proc. 32nd Int. Conf. Mach. Learn. (ICML)","author":"Luo"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2913142"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOS850"},{"key":"ref18","first-page":"1343","article-title":"A Bahadur representation of the linear support vector machine","volume":"9","author":"Koo","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2012.03.002"},{"issue":"236","key":"ref20","first-page":"1","article-title":"An error bound for L\u2081-norm support vector machine coefficients in ultra-high dimension","volume":"17","author":"Peng","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1429274"},{"key":"ref22","first-page":"1","article-title":"Distributed inference for linear support vector machine","volume":"20","author":"Wang","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","first-page":"1","article-title":"Divide-and-conquer for debiased L\u2081-norm support vector machine in ultra-high dimensions","volume":"1","author":"Lian","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2702738"},{"key":"ref25","first-page":"1","article-title":"Robust high dimensional learning for Lipschitz and convex losses","volume":"21","author":"Geoffrey","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933467"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12031"},{"key":"ref28","first-page":"832","article-title":"Efficient variable selection in support vector machines via the alternating direction method of multipliers","volume-title":"Proc. JMLR Workshop Conf.","author":"Ye"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-5254-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22147-7"},{"key":"ref31","volume-title":"Empirical Processes M-Estimation","author":"van der Geer","year":"2000"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2545-2"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/11-AOS894"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/0717046"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10517792\/09927320.pdf?arnumber=9927320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:50:01Z","timestamp":1714762201000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9927320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":34,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3212390","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}