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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
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Support Vector Machines
"IEEE Intelligent Systems" article by Marti Hearst. July/August 1998.
http://www.computer.org/intelligent/ex1998/pdf/x4018.pdf
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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
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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
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Dimensionality Reduction via Sparse Support Vector Machines
Appears in Journal of Machine Learning Research. 2003.
http://www.jmlr.org/papers/volume3/bi03a/bi03a.pdf
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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
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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
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Semi-Supervised Support Vector
We introduce a semi-supervised support vector machine (S3VM) method.
http://www1.cs.columbia.edu/~dplewis/candidacy/bennett98semisupervised.pdf
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A Tutorial on Support Vector Machines for Pattern Recognition
By Christopher Burges. 1998. Several formats of document available.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.1083
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