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Smola, ed., Advances in Kernel Methods: SupportVector Machine, MIT Press, 1999."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(03)00169-2"},{"key":"ref13","volume-title":"Advances in Kernel Methods Support Vector Machine","author":"Scholkopf","year":"1999","unstructured":"[15] B. Scholkopf, J. Burges, A. Smola, Advances in Kernel Methods: Support Vector Machine. MIT Press, 1999."},{"key":"ref14","first-page":"499","article-title":"Stability and generalization","volume":"2","author":"Bousquet","year":"2002","unstructured":"[16] O. Bousquet, A. 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NIPS 13(2001), pp. 981-987."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2007.900065"},{"issue":"11","key":"ref17","first-page":"3204","article-title":"Selection of kernel functions and parameters for support vector machines in system identification","volume":"18","author":"Rong","year":"2006","unstructured":"[19] Haina Rong, Gexiang Zhang, Weidong Jin, \"Selection of kernel functions and parameters for support vector machines in system identification,\" Journal of System Simulation, 2006, 18(11), pp. 3204-3226","journal-title":"Journal of System Simulation"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(02)00577-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065790000102"},{"issue":"3","key":"ref20","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1111\/j.2517-6161.1980.tb01126.x","article-title":"Threshold autoregressive, limit cycles and cyclical data","volume":"42","author":"Tong","year":"1980","unstructured":"[23] H. 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