Alizadeh F, Goldfarb D. (2003). Second-order cone programming Math Program Ser B. 95
Angulo C, Parra X, Catala A. (2003). K-SVCR: A support vector machine for multi-class classification Neurocomputing. 55
Bennett KP, Bredensteiner EJ. (1999). Multicategory classification by support vector machines Comput Optim Appl. 12
Blake CL, Merz CJ. (1998). UCI Repository of Machine Learning Databases.
Boyd S, Vandenberghe L, Lobo MS, Lebret H. (1998). Applications of second order cone programming Linear Algebra Appl. 284
Dietterich TG, Bakiri G. (1995). Solving multi-class learning problems via error correcting output codes J Artif Intell Res. 2
Fukushima M, Tseng P, Luo ZQ. (2002). Smoothing functions for second-order cone complementarity problems SIAM J Optim. 12
Goldfarb D, Iyengar G. (2003). Robust convex quadratically constrained programs Math Program. 97
Guermeur Y. (2002). Combining discriminant models with newmulti-class SVMs Pattern Anal Appl. 5
Kressel U. (1999). Pairwise classification and support vector machines Advances in kernel methods: Support vector learning .
Lecun Y et al. (1994). Comparison of classifier methods: A case study in hand writing digit recognition Proc Intl Conf Pattern Recognition.
Mangasarian OL, Bennett KP. (1993). Multicategory discrimination via linear programming Optimization Methods And Software. 3
Platt J. (1999). Sequential minimal optimization: A fast algorithm for training support vector machines Advances in kernel methods Support vector learning.
Schapire RE, Singer Y, Allwein EL. (2001). Reducing multiclass to binary: A unifying approach for margin classifiers J Mach Learn Res. 1
Scholkopf B, Smola A, Muller KR. (1998). Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10
Shawe-taylor J, Cristianini N, Platt JC. (2000). Large margin DAGs for multi-class classification Advances in neural information processing systems. 12
Sturm J. (2001). Using SeDuMi, a Matlab toolbox for optimization over symmetric cones.
Tibshirani RJ, Hastie TJ. (1998). Classification by pairwise coupling. Advances in neural information processing systems. 10
Vapnik V. (1998). Statistical Learning Theory.
Weston J, Watkins C. (1998). Multi-class support vector machines Tech. Rep. No. CSD-TR-98-04.
Yajima Y. (2005). Linear programming approaches for multicategory support vector machines Euro J Operat Res. 162
Yamashita N, Hayashi S, Fukushima M. (2005). Acombined smoothing and regularization method for monotone second-order cone complementarity problems SIAM J Optim. 15
Zhong P, Fukushima M. (2006). A new multi-class support vector algorithm Optim Methods and Software. 21