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Large margin classification using the perceptron algorithm
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Source 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
Authors
Yoav Freund  AT&T Labs, 180 Park Avenue, Florham Park, NJ
Robert E. Schapire  AT&T Labs, 180 Park Avenue, Florham Park, NJ
Sponsors
University of Wisconsin : University of Wisconsin
UC @ Santa Cruz : UC @ Santa Cruz
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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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.

 
1
M. A. Aizerman, E. M. Braverman, and L. I. Rozonoer. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25: 821-837, 1964.
 
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S. I. Gallant. Optimal linear discriminants. In Eighth International Conference on Pattern Recognition,pages 849-852. IEEE, 1986.
 
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Y. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. Muller, E. Sackinger, E Simard, and V Vapnik. Comparison of learning algorithms for handwritten digit recognition. In International Conference on Artificial Neural Networks, pages 53-60, 1995.
 
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A. B. J. Novikoff. On convergence proofs on perceptrons. In Proceedings of the Symposium on the Mathematical Theory of Automata, volume XII, pages 615- 622, 1962.
 
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E Rosenblatt. Principles of Neurodynamics. Spartan, New York, 1962.
 
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V. N. Vapnik and A. Ya. Chervonenkis. Theory ofpattern recognition. Nauka, Moscow, 1974. (In Russian).
 
18
Vladimir N. Vapnik. StatisticalLearning Theory. Wiley, 1998 (to appear).

CITED BY  27

Collaborative Colleagues:
Yoav Freund: colleagues
Robert E. Schapire: colleagues