{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T00:21:11Z","timestamp":1791418871434,"version":"4.3.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"16","license":[{"start":{"date-parts":[[2018,8,15]],"date-time":"2018-08-15T00:00:00Z","timestamp":1534291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,8,15]],"date-time":"2018-08-15T00:00:00Z","timestamp":1534291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,8,15]],"date-time":"2018-08-15T00:00:00Z","timestamp":1534291200000},"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":["61471292"],"award-info":[{"award-number":["61471292"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2018,8,15]]},"DOI":"10.1109\/tsp.2018.2853109","type":"journal-article","created":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T18:18:00Z","timestamp":1531160280000},"page":"4377-4387","source":"Crossref","is-referenced-by-count":47,"title":["The Kernel Conjugate Gradient Algorithms"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5796-4754","authenticated-orcid":false,"given":"Ming","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3151-1690","authenticated-orcid":false,"given":"Xiaoming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4690-2718","authenticated-orcid":false,"given":"Anxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"226","article-title":"Optimal learning rates for kernel conjugate gradient regression","volume":"23","author":"blanchard","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2493990"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.6028\/jres.049.044"},{"key":"ref32","author":"mcdonald","year":"2013","journal-title":"A Cause in Real Analysis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(71)90184-3"},{"key":"ref30","author":"kreyszig","year":"1978","journal-title":"Introductory Functional Analysis With Applications"},{"key":"ref37","article-title":"Robust implementations of the multistage Wiener filter","author":"hiemstra","year":"2003"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2605075"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.56021\/9781421407944","author":"golub","year":"2013","journal-title":"Matrix Computations"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/355984.355989"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556088"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/784292"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2006.1661394"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.907881"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2022007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.2009895"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2096420"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178446"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2437835"},{"key":"ref18","author":"widrow","year":"1985","journal-title":"Adaptive Signal Processing"},{"key":"ref19","author":"haykin","year":"2014","journal-title":"Adaptive Filter Theory"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2457396"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017467"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952666"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1"},{"key":"ref6","first-page":"1","article-title":"Kernel independent component analysis","volume":"3","author":"bach","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2726991"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2285783"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.830991"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2022857"},{"key":"ref2","author":"sch\u00f6lkopf","year":"2002","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.830985"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-1950-0051437-7"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-18842-3","author":"luenberger","year":"2016","journal-title":"Linear and Nonlinear Programming"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719697"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2011.0324"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2200500"},{"key":"ref24","first-page":"1017","article-title":"Kernel conjugate gradient for fast kernel machines","author":"ratliff","year":"2007","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2258936"},{"key":"ref23","author":"fletcher","year":"1987","journal-title":"Practical Methods of Optimization"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/18.737524"},{"key":"ref26","first-page":"97","article-title":"Kernel partial least squares regression in reproducing kernel Hilbert spaces","volume":"2","author":"rosipal","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/DSP-SPE.2013.6642587"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/cem.728"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/8399517\/08408777.pdf?arnumber=8408777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:38:58Z","timestamp":1705354738000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8408777\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,15]]},"references-count":44,"journal-issue":{"issue":"16"},"URL":"https:\/\/doi.org\/10.1109\/tsp.2018.2853109","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,15]]}}}