» A Tutorial on Support Vector Machines for Pattern Recognition    By Christopher Burges. 1998. Several formats of document available.    http://citeseer.ist.psu.edu/burges98tutorial.html

» A Tutorial on v-Support Vector Machines    Paper by Pai-Hsuen Chen, Chih-Jen Lin, and Bernhard Schölkopf, describing the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces.    http://www.csie.ntu.edu.tw/~cjlin/papers/nusvmtutorial.pdf

» An Introduction to Support Vector Machines    An introductory book to the field of Support Vector Machines, a novel machine learning algorithm.    http://www.support-vector.net

» Customization using Support Vector Machines for Information Retrieval    Paper by Kenro Aihara and Atsuhiro Takasu, which proposes an HCI approach to supporting interactive document retrieval in unorganized open information space. 2000.    http://research.nii.ac.jp/~aihara/images/aihara-sci2000.pdf

» Dimensionality Reduction via Sparse Support Vector Machines    Appears in Journal of Machine Learning Research. 2003.    http://www.jmlr.org/papers/volume3/bi03a/bi03a.pdf

» Hidden Markov Support Vector Machines    Appears in Proceedings of the 20th International Conference on Machine Learning (ICML 2003).    http://www.cs.brown.edu/people/th/papers/AltTsoHof-ICML2003.pdf

» Interior-Point Methods for Massive Support Vector Machines    SIAM Journal on Optimization, Vol. 13, Iss. 3. Several formats of document available. [subscription required]    http://epubs.siam.org/sam-bin/dbq/article/37437

» Semi-Supervised Support Vector    We introduce a semi-supervised support vector machine (S3VM) method.    http://www1.cs.columbia.edu/~dplewis/candidacy/bennett98semisupervised.pdf

» Support Vector Machines    "IEEE Intelligent Systems" article by Marti Hearst. July/August 1998.    http://www.computer.org/intelligent/ex1998/pdf/x4018.pdf