{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T06:54:45Z","timestamp":1774335285551,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["61472302"],"award-info":[{"award-number":["61472302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["61272280"],"award-info":[{"award-number":["61272280"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["61422209"],"award-info":[{"award-number":["61422209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["U1404620"],"award-info":[{"award-number":["U1404620"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004602","name":"Program for New Century Excellent Talents in University","doi-asserted-by":"publisher","award":["NCET-12-0919"],"award-info":[{"award-number":["NCET-12-0919"]}],"id":[{"id":"10.13039\/501100004602","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":[[2016,11]]},"DOI":"10.1109\/tnnls.2015.2475750","type":"journal-article","created":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T01:20:21Z","timestamp":1442971221000},"page":"2216-2228","source":"Crossref","is-referenced-by-count":70,"title":["RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners"],"prefix":"10.1109","volume":"27","author":[{"given":"Qiguang","family":"Miao","sequence":"first","affiliation":[]},{"given":"Ying","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Ge","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Jiachen","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jianfeng","family":"Song","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref38","article-title":"The design of Bayes consistent loss functions for classification","author":"masnadi-shirazi","year":"2011"},{"key":"ref33","first-page":"512","article-title":"Boosting algorithms as gradient descent in function space","author":"mason","year":"1999","journal-title":"Proc 13th Annu Conf Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007614523901"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97966-8_6"},{"key":"ref30","article-title":"Loss functions for binary class probability estimation and classification: Structure and applications","author":"buja","year":"2005"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000907"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-006-0662-3"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553489"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11416-013-0186-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-25966-4_29"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007607513941"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44938-8_4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/780542.780573"},{"key":"ref14","first-page":"234","article-title":"Some theoretical aspects of boosting in the presence of noisy data","author":"jiang","year":"2001","journal-title":"Proc 18th Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390233"},{"key":"ref16","first-page":"1049","article-title":"On the design of loss functions for classification: Theory, robustness to outliers, and SavageBoost","author":"masnadi-shirazi","year":"2008","journal-title":"Proc 21st Annu Conf Neural Inf Process Syst"},{"key":"ref17","article-title":"A more robust boosting algorithm","author":"freund","year":"2009"},{"key":"ref18","first-page":"1085","article-title":"Algorithms for direct 0&#x2013;1 loss optimization in binary classification","author":"nguyen","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOAS198"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116037"},{"key":"ref27","author":"duda","year":"2012","journal-title":"Pattern Classification"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2007.06.020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.07.006"},{"key":"ref29","first-page":"2347","article-title":"AdaBoost is consistent","volume":"8","author":"bartlett","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457451"},{"key":"ref7","first-page":"479","article-title":"On the margin explanation of boosting algorithms","author":"wang","year":"2008","journal-title":"Proc of the 21st Annual Conference on Learning Theory"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36434-X_4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-25966-4_3"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/8291.001.0001","author":"schapire","year":"2012","journal-title":"Boosting Foundations and Algorithms"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2010.2084081"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1613\/jair.606","article-title":"Identifying mislabeled training data","volume":"11","author":"brodley","year":"1999","journal-title":"J Artif Intell Res"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.05.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2004.03.002"},{"key":"ref23","first-page":"872","article-title":"Direct 0&#x2013;1 loss minimization and margin maximization with boosting","author":"zhai","year":"2013","journal-title":"Proc 26th Annu Conf Neural Inf Process Syst"},{"key":"ref26","first-page":"1576","article-title":"Variable margin losses for classifier design","author":"masnadi-shirazi","year":"2010","journal-title":"Proc 23th Annu Conf Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1079120130"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/7605560\/07273923.pdf?arnumber=7273923","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T12:05:29Z","timestamp":1692014729000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7273923\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11]]},"references-count":38,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2015.2475750","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11]]}}}