Publications

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. [PDF]
Dimensionality Reduction via Sparse Support Vector Machines - Appears in Journal of Machine Learning Research. 2003. [PDF]
Hidden Markov Support Vector Machines - Appears in Proceedings of the 20th International Conference on Machine Learning (ICML 2003). [PDF]
Interior-Point Methods for Massive Support Vector Machines - SIAM Journal on Optimization, Vol. 13, Iss. 3. Several formats of document available. [subscription required]
An Introduction to Support Vector Machines - An introductory book to the field of Support Vector Machines, a novel machine learning algorithm.
Semi-Supervised Support Vector - We introduce a semi-supervised support vector machine (S3VM) method. [PDF]
Support Vector Machines - "IEEE Intelligent Systems" article by Marti Hearst. July/August 1998. [PDF]
A Tutorial on Support Vector Machines for Pattern Recognition - By Christopher Burges. 1998. Several formats of document available.
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. [PDF]