{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T05:28:57Z","timestamp":1771478937048,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2015,5,1]],"date-time":"2015-05-01T00:00:00Z","timestamp":1430438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"National Key Technologies Research and Development Program of China","award":["2011AA060203"],"award-info":[{"award-number":["2011AA060203"]}]},{"name":"No. 2 Important National Science and Technology Specific Project of China","award":["2011ZX02504"],"award-info":[{"award-number":["2011ZX02504"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2015,5]]},"DOI":"10.1109\/tcyb.2014.2340433","type":"journal-article","created":{"date-parts":[[2014,7,31]],"date-time":"2014-07-31T20:56:26Z","timestamp":1406840186000},"page":"941-953","source":"Crossref","is-referenced-by-count":93,"title":["Parameter Selection of Gaussian Kernel for One-Class SVM"],"prefix":"10.1109","volume":"45","author":[{"family":"Yingchao Xiao","sequence":"first","affiliation":[]},{"family":"Huangang Wang","sequence":"additional","affiliation":[]},{"family":"Wenli Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2207889"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2212243"},{"key":"ref33","author":"chih-chung","year":"2001","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref32","author":"duin","year":"2007","journal-title":"A Matlab Toolbox for Pattern Recognition"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.72"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1109\/TPAMI.2010.188","article-title":"Selecting critical patterns based on local geometrical and statistical information","volume":"33","author":"li","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref37","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"demsar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1109\/TPAMI.2009.24","article-title":"A small sphere and large margin approach for novelty detection using training data with outliers","volume":"31","author":"wu","year":"2009","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref35","first-page":"49","article-title":"Class-boundary alignment for imbalanced dataset learning","author":"wu","year":"2003","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref34","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: One-sided selection","author":"kubat","year":"1997","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2009.2039188"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1994.6.2.270"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13775-4_33"},{"key":"ref13","first-page":"21","article-title":"Novelty detection using one-class Parzen density estimator. An application to surveillance of nosocomial infections","volume":"136","author":"cohen","year":"2008","journal-title":"EHealth beyond the Horizon - Get IT There"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2010.12.003"},{"key":"ref15","first-page":"536","article-title":"Kernel PCA and de-noising in feature spaces","volume":"11","author":"mika","year":"1999","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1021\/ie900521b"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.07.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.06.017"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1109\/TSMCB.2009.2015672","article-title":"Fast and efficient strategies for model selection of Gaussian support vector machine","volume":"39","author":"xu","year":"2009","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref28","first-page":"61","article-title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","volume":"10","author":"platt","year":"1999","journal-title":"Adv Large Margin Classifiers"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2098842"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CIDM.2007.368922"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2499","DOI":"10.1016\/j.sigpro.2003.07.019","article-title":"Novelty detection: A review&#x2014;Part 2: Neural network based approaches","volume":"83","author":"markou","year":"2003","journal-title":"Signal Process"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.95"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/cem.800"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.11.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.11.046"},{"key":"ref9","first-page":"1025","article-title":"One-class novelty detection for seizure analysis from intracranial EEG","volume":"7","author":"gardner","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2011.05.028"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2010.2053026"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.927272"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.08.030"},{"key":"ref24","first-page":"269","author":"evangelista","year":"2007","journal-title":"Some Properties of the Gaussian Kernel for One Class Learning"},{"key":"ref23","first-page":"155","article-title":"Uniform object generation for optimizing one-class classifiers","volume":"2","author":"tax","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref26","author":"sch\u00f6lkopf","year":"2002","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/7084711\/06869001.pdf?arnumber=6869001","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:41:50Z","timestamp":1642005710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6869001"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5]]},"references-count":39,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2014.2340433","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5]]}}}