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An Introduction to Support Vector Machines
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http://www.support-vector.net
An introductory book to the field of Support Vector Machines, a novel machine learning algorithm.
A Tutorial on Support Vector Machines for Pattern Recognition
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http://citeseer.ist.psu.edu/burges98tutorial.html
By Christopher Burges. 1998. Several formats of document available.
Hidden Markov Support Vector Machines
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http://www.cs.brown.edu/people/th/papers/AltTsoHof-ICML2003.pdf
Appears in Proceedings of the 20th International Conference on Machine Learning (ICML 2003).
A Tutorial on v-Support Vector Machines
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http://www.csie.ntu.edu.tw/~cjlin/papers/nusvmtutorial.pdf
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.
Dimensionality Reduction via Sparse Support Vector Machines
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http://www.jmlr.org/papers/volume3/bi03a/bi03a.pdf
Appears in Journal of Machine Learning Research. 2003.
Semi-Supervised Support Vector
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http://www1.cs.columbia.edu/~dplewis/candidacy/bennett98semisupervised.pdf
We introduce a semi-supervised support vector machine (S3VM) method.
Customization using Support Vector Machines for Information Retrieval
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http://research.nii.ac.jp/~aihara/images/aihara-sci2000.pdf
Paper by Kenro Aihara and Atsuhiro Takasu, which proposes an HCI approach to supporting interactive document retrieval in unorganized open information space. 2000.
Support Vector Machines
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http://www.computer.org/intelligent/ex1998/pdf/x4018.pdf
"IEEE Intelligent Systems" article by Marti Hearst. July/August 1998.
Interior-Point Methods for Massive Support Vector Machines
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http://epubs.siam.org/sam-bin/dbq/article/37437
SIAM Journal on Optimization, Vol. 13, Iss. 3. Several formats of document available. [subscription required]
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