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Learning binary relations using weighted majority voting
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the sixth annual conference on Computational learning theory table of contents
Santa Cruz, California, United States
Pages: 453 - 462  
Year of Publication: 1993
ISBN:0-89791-611-5
Authors
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 24,   Citation Count: 2
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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.

 
Ang88
 
BF72
J. Barzdin and R. Freivald. On the prediction of general recursive functions. Soviet Mathematics Doklady, 13:1224-1228, 1972.
CBFH+93
 
Che92
William Chen, 1992. Personal communication.
 
GRS89
 
Lit88
 
Lit89
LLW91
 
LW89
Nick Littlestone and Manfred K. Warmuth. The weighted majority algorithm. In 30th Annual Symposium on Foundations of Computer Science, pages 256-261, October 1989. To appear in Information and Computation.
 
Vov90


Collaborative Colleagues:
Sally A. Goldman: colleagues
Manfred K. Warmuth: colleagues