{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T15:16:30Z","timestamp":1788362190231,"version":"build-2803163510"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation within the Division of Electrical, Communications and Cyber Systems","doi-asserted-by":"publisher","award":["ECCS 1053717"],"award-info":[{"award-number":["ECCS 1053717"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation within the Division of Electrical, Communications and Cyber Systems","doi-asserted-by":"publisher","award":["CCF 1439011"],"award-info":[{"award-number":["CCF 1439011"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation within the Division of Electrical, Communications and Cyber Systems","doi-asserted-by":"publisher","award":["IIS-1350763"],"award-info":[{"award-number":["IIS-1350763"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-12-1-0378"],"award-info":[{"award-number":["W911NF-12-1-0378"]}],"id":[{"id":"10.13039\/100000183","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":[[2017,9]]},"DOI":"10.1109\/tnnls.2016.2562670","type":"journal-article","created":{"date-parts":[[2016,5,21]],"date-time":"2016-05-21T20:52:34Z","timestamp":1463863954000},"page":"1974-1984","source":"Crossref","is-referenced-by-count":145,"title":["Semisupervised Feature Selection Based on Relevance and Redundancy Criteria"],"prefix":"10.1109","volume":"28","author":[{"given":"Jin","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5247-9370","authenticated-orcid":false,"given":"Haibo","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1109\/TNN.2010.2047114","article-title":"Discriminative semi-supervised feature selection via manifold regularization","volume":"21","author":"xu","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref38","first-page":"359","article-title":"Correlation-based feature selection for discrete and numeric class machine learning","author":"hall","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1999.772600"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(02)00166-0"},{"key":"ref31","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref30","first-page":"526","article-title":"Feature selection for SVMs","volume":"12","author":"weston","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2574327"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2522427"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2563436"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/11554028_96"},{"key":"ref60","author":"witten","year":"2000","journal-title":"Data Mining Practical Machine Learning Tools and Techniques with Java Implementations"},{"key":"ref62","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000000098"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2195000"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252639"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273600"},{"key":"ref27","first-page":"594","article-title":"$L_{1}$ graph based on sparse coding for feature selection","author":"xu","year":"2013","journal-title":"Proc Int Symp Neural Netw (ISNN2004)"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2383692"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2437512"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2128342"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-014-9252-5"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2015.7256954"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.2000059"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2064786"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.11.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.05.031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835905"},{"key":"ref24","first-page":"1324","article-title":"Feature selection via joint embedding learning and sparse regression","author":"hou","year":"2011","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.06.014"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref25","first-page":"671","article-title":"Trace ratio criterion for feature selection","author":"nie","year":"2008","journal-title":"Proc 23rd AAAI Conf Artif Intell (AAAI'08)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277811"},{"key":"ref51","first-page":"1491","article-title":"Quadratic programming feature selection","volume":"11","author":"rodriguez-lujan","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref59","author":"chang","year":"2001","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102361"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref56","article-title":"Extending and benchmarking cascade-correlation: Extensions to the cascade-correlation architecture and benchmarking of feed-forward supervised artificial neural networks","author":"waugh","year":"1995"},{"key":"ref55","first-page":"1205","article-title":"Efficient feature selection via analysis of relevance and redundancy","volume":"5","author":"yu","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref54","author":"lichman","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref53","first-page":"284","article-title":"Toward optimal feature selection","author":"koller","year":"1996","journal-title":"Proc 13th Int Conf Mach Learn"},{"key":"ref52","author":"pearl","year":"1988","journal-title":"Probabilistic Reasoning in Intelligent Systems Networks of Plausible Inference"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.200"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.11.025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.75"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70799"},{"key":"ref13","first-page":"1813","article-title":"Efficient and robust feature selection via joint $\\ell _{2,1}$ -norms minimization","author":"nie","year":"2010","journal-title":"Proc 23rd Adv Neural Inf Process Syst (NIPS)"},{"key":"ref14","first-page":"507","article-title":"Laplacian score for feature selection","author":"he","year":"2005","journal-title":"Proc 18th Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.137"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23199-5_19"},{"key":"ref17","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596701"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIA.2010.6141595"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.144"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212721"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2002.1183893"},{"key":"ref5","volume":"454","author":"liu","year":"2012","journal-title":"Feature Selection for Knowledge Discovery and Data Mining"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/34.990133"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.01.006"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.09.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2488591"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(03)00079-1"},{"key":"ref45","author":"alpaydin","year":"2004","journal-title":"Introduction to Machine Learning"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69311-6_34"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008363719778"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.66"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68125-0_101"},{"key":"ref44","author":"brassard","year":"1996","journal-title":"Fundamentals of Algorithmics"},{"key":"ref43","article-title":"An evaluation of feature selection methods and their application to computer security","author":"doak","year":"1992"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/ielaam\/5962385\/8010929\/7475902-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8010929\/07475902.pdf?arnumber=7475902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T14:53:10Z","timestamp":1649429590000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7475902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":69,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2016.2562670","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9]]}}}