| Large margin classification using the perceptron algorithm |
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Annual Workshop on Computational Learning Theory
archive
Proceedings of the eleventh annual conference on Computational learning theory
table of contents
Madison, Wisconsin, United States
Pages: 209 - 217
Year of Publication: 1998
ISBN:1-58113-057-0
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Downloads (6 Weeks): 6, Downloads (12 Months): 30, Citation Count: 27
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Vladimir N. Vapnik. StatisticalLearning Theory. Wiley, 1998 (to appear).
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CITED BY 27
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Rocco A. Servedio, On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm, Proceedings of the twelfth annual conference on Computational learning theory, p.296-307, July 07-09, 1999, Santa Cruz, California, United States
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Yi Li , Philip M. Long , Aravind Srinivasan, Improved bounds on the sample complexity of learning, Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms, p.309-318, January 09-11, 2000, San Francisco, California, United States
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Wanxiang Che , Min Zhang , Ting Liu , Sheng Li, A hybrid convolution tree kernel for semantic role labeling, Proceedings of the COLING/ACL on Main conference poster sessions, p.73-80, July 17-18, 2006, Sydney, Australia
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