{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T23:28:25Z","timestamp":1774222105453,"version":"3.50.1"},"reference-count":20,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2002,12,1]],"date-time":"2002-12-01T00:00:00Z","timestamp":1038700800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2002,12]]},"DOI":"10.1016\/s0031-3203(01)00210-2","type":"journal-article","created":{"date-parts":[[2002,10,11]],"date-time":"2002-10-11T21:46:03Z","timestamp":1034372763000},"page":"2927-2936","source":"Crossref","is-referenced-by-count":78,"title":["Linear programming support vector machines"],"prefix":"10.1016","volume":"35","author":[{"given":"Weida","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0031-3203(01)00210-2_BIB1","series-title":"Statistical Learning Theory","author":"Vapnik","year":"1998"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB2","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"issue":"5","key":"10.1016\/S0031-3203(01)00210-2_BIB3","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/72.788640","article-title":"An overview of statistical learning theory","volume":"10","author":"Vapnik","year":"1999","journal-title":"IEEE Transac. Neural Networks"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB4","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","article-title":"A tutorial on support vector machines for pattern recognition","volume":"2","author":"Burges","year":"1998","journal-title":"Data Min. Knowledge Discovery"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB5","unstructured":"A.J. Smola, B. Sch\u00f6lkopf, A tutorial on support vector regression, NeuroCOLT Technical Report NC-TR-98-030, Royal Holloway College, University of London, UK, 1998."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB6","unstructured":"W.P. Cheng, K.Y. Zhang, Z. Xu et al. (Eds.), Matrix Theory. Xi'an: North-West Industry University Press, Xi'an, China, 1989."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB7","unstructured":"G. Wahba, An introduction to model building with reproducing kernel hilbert spaces, Technical Report 1020, University of Wisconsin-Madison, Statistics Dept. 2000."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB8","unstructured":"K.J. Lang, M.J. Witbrock, Learning to tell two spirals apart, Proceedings of the 1989 Connectionist Models Summer School, 1989, pp. 52\u201361."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB9","unstructured":"B. Sch\u00f6lkopf, C. Burges, V. Vapnik, Extracting support data for a given task, in: M. Fayyad, R. Uthurusamy (Eds.), Proceedings, First International Conference on Knowledge Discovery & Data Mining, Menlo Park, AAAI Press, http:\/\/www.kernel-machines.org\/ 1995."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB10","series-title":"Artificial Neural Networks \u2014 ICANN\u201996, Berlin","first-page":"47","article-title":"Incorporating invariances in support vector learning machines","volume":"Vol. 1112","author":"Sch\u00f6lkopf","year":"1996"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB11","unstructured":"C.J.C. Burges, B. Sch\u00f6lkopf, Improving the accuracy and speed of support vector learning machines, in: M. Mozer, M. Jordan, T. Petsche (Eds.), Advances in Neural Information Processing Systems 9, MIT Press, Cambridge, MA, 1997, pp. 375\u2014-381."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB12","series-title":"Multiuser Detection","author":"Verdu","year":"1996"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB13","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1109\/26.705407","article-title":"Blind adaptive interference suppression for timing acquisition and demodulation in direct-sequence CDMA systems","volume":"46","author":"Madhow","year":"1998","journal-title":"IEEE Trans. Commun."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB14","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1109\/18.661512","article-title":"Blind multiuser detection: a subspace approach","volume":"44","author":"Wang","year":"1998","journal-title":"IEEE Trans. Inform. Theory"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB15","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/S0893-6080(97)00136-6","article-title":"Evolution and generalization of a size neurone, II. Complexity of statistical classifiers and sample size consideration","volume":"11","author":"Raudys","year":"1998","journal-title":"Neural Networks"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB16","unstructured":"T. Joachims. Estimating the generalization performance of a SVM efficiently, LS VIII-Report 25, Universit\u00e4t Dortmund, Germany. Available in http:\/\/www.kernel-machine.com\/."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB17","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0893-6080(99)00097-0","article-title":"How good are support vector machines","volume":"13","author":"Raudys","year":"2000","journal-title":"Neural Networks"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB18","unstructured":"V. Vapnik, Estimation of Dependencies Based on Empirical Data Nauka, Moscow, 1979 (in Russian) (English translation: Springer, New York, 1982)."},{"key":"10.1016\/S0031-3203(01)00210-2_BIB19","doi-asserted-by":"crossref","unstructured":"E. Osuna, R. Freund, G. Girosi, Improved training algorithm for support vector machines, Proceedings of the IEEE NNSP\u201997, Amelia Island, 1997.","DOI":"10.1109\/NNSP.1997.622408"},{"key":"10.1016\/S0031-3203(01)00210-2_BIB20","doi-asserted-by":"crossref","unstructured":"J. Platt, Fast training of support vector machines using sequential minimal optimization, in: B. Sch\u00f6lkopf, C.J.C. Burges, A.J. Smola (Eds.), Advances in Kernel Methods \u2014 Support Vector Learning, MIT Press, Cambridge, MA, 1999, pp. 185\u2013208.","DOI":"10.7551\/mitpress\/1130.003.0016"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320301002102?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320301002102?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,12,30]],"date-time":"2023-12-30T16:33:37Z","timestamp":1703954017000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320301002102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,12]]},"references-count":20,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2002,12]]}},"alternative-id":["S0031320301002102"],"URL":"https:\/\/doi.org\/10.1016\/s0031-3203(01)00210-2","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2002,12]]}}}