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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the twelfth annual conference on Computational learning theory table of contents
Santa Cruz, California, United States
Pages: 164 - 170  
Year of Publication: 1999
ISBN:1-58113-167-4
Author
David A. McAllester  AT&T Shannon Labs, 180 Park Avenue, Florham Park, NJ
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Univ. of California, : University of California at Santa Cruz
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 38,   Citation Count: 12
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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
A.R. Barron. Complexity regularization with application to artificial neural networks. In G. Roussas, editor, Nonparametric Functional Estimation and Related Topics, pages 561-576. Kluwer Academic Publishers, 1991.
 
2
A.R. Barron and T.M. Cover. Minimum complexity density estimation. IEEE ~ransactions on Information Theory, 37:1034-1054, 1991.
 
3
Wray Buntine. Learning classification trees. Statistics and Computing, 2:63-73, 1992.
 
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G. Lugosi and K. Zeger. Concept learning using complexity regularization. IEEE 2~ansactions on Information Theory, 42:48-54, 1996.
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Jonathan J. Oliver and David Hand. On pruning and averaging decision trees. In Proceedings of the Twelfth International Conference on Machine Learning, 1995.
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