{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:23:14Z","timestamp":1740165794306,"version":"3.37.3"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T00:00:00Z","timestamp":1627776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Natural Science Foundation","award":["BK20161534"],"award-info":[{"award-number":["BK20161534"]}]},{"name":"Six Talent Peaks Project","award":["XYDXX-042"],"award-info":[{"award-number":["XYDXX-042"]}]},{"DOI":"10.13039\/501100017534","name":"333 Project in Jiangsu Province","doi-asserted-by":"publisher","award":["BRA2017455"],"award-info":[{"award-number":["BRA2017455"]}],"id":[{"id":"10.13039\/501100017534","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010023","name":"Project Funded by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010023","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":[[2021,8]]},"DOI":"10.1109\/tnnls.2020.3015937","type":"journal-article","created":{"date-parts":[[2020,8,28]],"date-time":"2020-08-28T19:58:39Z","timestamp":1598644719000},"page":"3677-3689","source":"Crossref","is-referenced-by-count":6,"title":["Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7165-3143","authenticated-orcid":false,"given":"Bin","family":"Gu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanli","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guansheng","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2620-3247","authenticated-orcid":false,"given":"Cheng","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3483-8333","authenticated-orcid":false,"given":"Heng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/957013.957144"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065796000610"},{"key":"ref33","first-page":"1359","article-title":"Randomized nonlinear component analysis","author":"lopez-paz","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","first-page":"113","article-title":"On the impact of kernel approximation on learning accuracy","author":"cortes","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref31","first-page":"2153","article-title":"On the Nystr&#x00F6;m method for approximating a Gram matrix for improved kernel-based learning","volume":"6","author":"drineas","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref30","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2011.06.023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/9780470594001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"ref34","first-page":"1","article-title":"Prediction of ordinal classes using regression trees","volume":"47","author":"kramer","year":"2001","journal-title":"Fundamente der Informatik"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/474"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/328"},{"key":"ref29","first-page":"661","article-title":"Using the Nystr&#x00F6;m method to speed up kernel machines","author":"williams","year":"2000","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.3.792"},{"key":"ref1","first-page":"961","article-title":"Ranking with large margin principle: Two approaches","author":"shashua","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.11.008"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/300"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.170"},{"key":"ref24","first-page":"3041","article-title":"Scalable kernel methods via doubly stochastic gradients","author":"dai","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref26","first-page":"3085","article-title":"Asynchronous doubly stochastic sparse kernel learning","author":"gu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref25","first-page":"1","article-title":"Triply stochastic gradients on multiple kernel learning","author":"li","year":"2017","journal-title":"Proc UAI"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000907"},{"key":"ref51","first-page":"1769","article-title":"On the consistency of ordinal regression methods","volume":"18","author":"pedregosa","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref56","article-title":"Introducing LETOR 4.0 datasets","author":"qin","year":"2013","journal-title":"arXiv 1306 2597"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-009-9123-y"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref53","first-page":"2341","article-title":"Scale up nonlinear component analysis with doubly stochastic gradients","author":"xie","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0420-4"},{"key":"ref10","first-page":"1095","article-title":"One-sided support vector regression for multiclass cost-sensitive classification","author":"tu","year":"2010","journal-title":"Proc ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_13"},{"article-title":"Ensemble methods in ordinal data classification","year":"2014","author":"da costa","key":"ref40"},{"key":"ref12","first-page":"47","article-title":"An ensemble of weighted support vector machines for ordinal regression","volume":"3","author":"waegeman","year":"2009","journal-title":"Int J Comput Syst Sci Eng"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2457911"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/0899766052530848"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/11894841_26"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1980.tb01109.x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref18","article-title":"Safe sample screening for robust support vector machine","author":"zhai","year":"2019","journal-title":"arXiv 1912 11217"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19991091"},{"key":"ref4","first-page":"1019","article-title":"Gaussian processes for ordinal regression","volume":"6","author":"chu","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00265"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-014-0740-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2005.10.001"},{"key":"ref8","volume":"3","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212456"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.06.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/B:STCO.0000035301.49549.88"},{"key":"ref46","first-page":"583","article-title":"Random feature maps for dot product kernels","author":"kar","year":"2012","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511617539"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-1950-0051437-7"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.129"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2342533"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2017.1316280"},{"article-title":"Multicriteria learning on ordinal data","year":"2012","author":"sousa","key":"ref44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3297280.3297560"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9505270\/09180084.pdf?arnumber=9180084","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:03Z","timestamp":1652194383000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9180084\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":56,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.3015937","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2021,8]]}}}