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 Computers » Artificial Intelligence » Support Vector Machines » Publications


 Web Pages    1 - 9   of   9


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

http://www.support-vector.net

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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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"IEEE Intelligent Systems" article by Marti Hearst. July/August 1998.

http://www.computer.org/intelligent/ex1998/pdf/x4018.pdf

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Appears in Journal of Machine Learning Research. 2003.

http://www.jmlr.org/papers/volume3/bi03a/bi03a.pdf

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

http://www1.cs.columbia.edu/~dplewis/candidacy/bennett98semisupervised.pdf

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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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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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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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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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