Sergios Theodoridis and Konstantinos Koutroumbas "Pattern Recognition", 4th Edition, Academic Press, 2009, ISBN 978-1-59749-272-0
Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines and other kernel-based learning methods. Cambridge University Press, 2000. ISBN 0-521-78019-5 (Lưu trữ 2018-06-27 tại Wayback Machine SVM Book)
Huang T.-M., Kecman V., Kopriva I. (2006), Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semi-supervised, and Unsupervised Learning, Springer-Verlag, Berlin, Heidelberg, 260 pp. 96 illus., Hardcover, ISBN 3-540-31681-7
Vojislav Kecman: "Learning and Soft Computing — Support Vector Machines, Neural Networks, Fuzzy Logic Systems", The MIT Press, Cambridge, MA, 2001.
Bernhard Schölkopf and A. J. Smola: Learning with Kernels. MIT Press, Cambridge, MA, 2002. (Partly available on line: .) ISBN 0-262-19475-9
Bernhard Schölkopf, Christopher J.C. Burges, and Alexander J. Smola (editors). "Advances in Kernel Methods: Support Vector Learning". MIT Press, Cambridge, MA, 1999. ISBN 0-262-19416-3. Lưu trữ 2007-10-17 tại Wayback Machine
John Shawe-Taylor and Nello Cristianini. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004. ISBN 0-521-81397-2 ( Kernel Methods Book)
Vladimir Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag, 1995. ISBN 0-387-98780-0
Vladimir Vapnik, S.Kotz "Estimation of Dependences Based on Empirical Data" Springer, 2006. ISBN 0-387-30865-2, 510 pages [this is a reprint of Vapnik's early book describing philosophy behind SVM approach. The 2006 Appendix describes recent development].
Dmitriy Fradkin and Ilya Muchnik "Support Vector Machines for Classification" in J. Abello and G. Carmode (Eds) "Discrete Methods in Epidemiology", DIMACS Series in Discrete Mathematics and Theoretical Computer Science, volume 70, pp. 13–20, 2006. Lưu trữ 2016-10-19 tại Wayback Machine. Succinctly describes theoretical ideas behind SVM.
Kristin P. Bennett and Colin Campbell, "Support Vector Machines: Hype or Hallelujah?", SIGKDD Explorations, 2,2, 2000, 1–13. . Excellent introduction to SVMs with helpful figures.
Ovidiu Ivanciuc, "Applications of Support Vector Machines in Chemistry", In: Reviews in Computational Chemistry, Volume 23, 2007, pp. 291–400. Reprint available:
Catanzaro, Sundaram, Keutzer, "Fast Support Vector Machine Training and Classification on Graphics Processors", In: International Conference on Machine Learning, 2008 Lưu trữ 2012-03-02 tại Wayback Machine
