1. Statistical Learning Theory;Vapnik,1998
2. Support-vector networks;Cortes;Mach. Learn.,1995
3. G. Wahba, Support vector machines, reproducing Kernel Hilbert spaces and the randomized gacv, in: Advances in Kernel Methods-Support Vector Learning, 1999, pp. 69–88.
4. Classification in the presence of label noise;Frenay;IEEE Trans. Neural Netw. Learn. Syst.,2014
5. Robust truncated hinge loss support vector machines;Wu;J. Am. Stat. Assoc.,2007