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
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