{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T05:01:04Z","timestamp":1788930064987,"version":"build-2803163510"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["61473231"],"award-info":[{"award-number":["61473231"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019,5,1]]},"DOI":"10.1109\/tkde.2018.2847685","type":"journal-article","created":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T19:47:19Z","timestamp":1529696839000},"page":"880-893","source":"Crossref","is-referenced-by-count":102,"title":["Efficient Feature Selection via $\\ell _{2,0}$ \u21132,0-norm Constrained Sparse Regression"],"prefix":"10.1109","volume":"31","author":[{"given":"Tianji","family":"Pang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-6519","authenticated-orcid":false,"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5545-7217","authenticated-orcid":false,"given":"Junwei","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn662"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/BF02592073"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1198\/004017005000000139"},{"key":"ref32","first-page":"344","article-title":"Towards structural sparsity: An explicit l2\/l0 approach","author":"luo","year":"2011","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref31","author":"bertsekas","year":"2014","journal-title":"Constrained Optimization and Lagrange Multiplier Methods"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806647"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.128"},{"key":"ref36","first-page":"2899","article-title":"Efficient online and batch learning using forward backward splitting","volume":"10","author":"duchi","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553458"},{"key":"ref34","first-page":"857","article-title":"An efficient projection for l1,infinity regularization","author":"quattoni","year":"2009","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","first-page":"2089","article-title":"$\\ell _{0}$?0-norm-based sparse representation through alternate projections","volume":"2092","author":"mancera","year":"2006","journal-title":"Proc Int Conf Image Process"},{"key":"ref27","first-page":"1240","article-title":"Exact top-k feature selection via $\\ell _{2,0}$?2,0-norm constraint","author":"cai","year":"2013","journal-title":"Proc 23rd Int Joint Conf"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/B:AMAI.0000018580.96245.c6"},{"key":"ref1","article-title":"Selection of Relevant Features in Machine Learning","year":"1994","journal-title":"Defense Technical Information Center"},{"key":"ref20","first-page":"1439","article-title":"Use of the zero-norm with linear models and kernel methods","volume":"3","author":"weston","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20132"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref24","first-page":"1589","article-title":"$\\ell _{2,1}$?2,1-norm regularized discriminative feature selection for unsupervised learning","author":"yang","year":"2011","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref23","first-page":"1813","article-title":"Efficient and robust feature selection via joint $\\ell _{2,1}$?2,1-norms minimization","author":"nie","year":"2010","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2515613"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.10.130"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm036"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.478"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2694222"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2781424"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2749125"},{"key":"ref52","first-page":"390","article-title":"A stability index for feature selection","author":"kuncheva","year":"2007","journal-title":"Proc Conf Int Multi-Conf Artif Intell Appl"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2522427"},{"key":"ref40","article-title":"Massively parallel genomics","volume":"277","author":"fodor","year":"1997","journal-title":"Sci"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref17","first-page":"2814","article-title":"Making decision trees feasible in ultrahigh feature and label dimensions","volume":"18","author":"liu","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref18","first-page":"1881","article-title":"Sparse perceptron decision tree for millions of dimensions","author":"liu","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref19","first-page":"3321","article-title":"Sparse embedded $k$k-means clustering","author":"liu","year":"2017","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref4","first-page":"235","article-title":"Feature selection for machine learning: Comparing a correlation-based filter approach to the wrapper","volume":"1999","author":"hall","year":"1999","journal-title":"Proc Int Florida Artif Intell Res Soc Conf"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.65"},{"key":"ref6","author":"quinlan","year":"2014","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2493537"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2426703"},{"key":"ref49","article-title":"Pattern classification and scene analysis","author":"duda","year":"1995"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458243"},{"key":"ref46","first-page":"43","article-title":"Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions","author":"provost","year":"1999","journal-title":"Proc ACM Int Conf Knowledge Discovery and Data Mining"},{"key":"ref45","first-page":"1602","article-title":"Gene expression-based classification of malignant gliomas correlates better with survival than histological classification","volume":"63","author":"nutt","year":"2003","journal-title":"Cancer Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010920819831"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/89044"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.191502998"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-7-228","article-title":"A stable gene selection in microarray data analysis","volume":"7","author":"yang","year":"2006","journal-title":"BMC Bioinf"},{"key":"ref43","first-page":"7388","article-title":"Molecular classification of human carcinomas by use of gene expression signatures","volume":"61","author":"su","year":"0","journal-title":"Cancer Res"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/8680720\/08386668.pdf?arnumber=8386668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T05:38:48Z","timestamp":1661492328000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8386668\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,1]]},"references-count":55,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2018.2847685","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,1]]}}}