Publications

We introduce a semi-supervised support vector machine (S3VM) method.

SIAM Journal on Optimization, Vol. 13, Iss. 3. Several formats of document available. [subscription required]

Paper by Kenro Aihara and Atsuhiro Takasu, which proposes an HCI approach to supporting interactive document retrieval in unorganized open information space. 2000.

Appears in Journal of Machine Learning Research. 2003.

Paper by Pai-Hsuen Chen, Chih-Jen Lin, and Bernhard SchA╢lkopf, describing the main ideas of statistical learning theory, support vector machines (SVMs), and kernel feature spaces.

Appears in Proceedings of the 20th International Conference on Machine Learning (ICML 2003).

article by Marti Hearst. July/August 1998.

An introductory book to the field of Support Vector Machines, a novel machine learning algorithm.