| PAC-Bayesian model averaging |
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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
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| 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.
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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.
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A.R. Barron and T.M. Cover. Minimum complexity density estimation. IEEE ~ransactions on Information Theory, 37:1034-1054, 1991.
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Wray Buntine. Learning classification trees. Statistics and Computing, 2:63-73, 1992.
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Michael Kearns , Yishay Mansour , Andrew Y. Ng , Dana Ron, An experimental and theoretical comparison of model selection methods, Proceedings of the eighth annual conference on Computational learning theory, p.21-30, July 05-08, 1995, Santa Cruz, California, United States
[doi> 10.1145/225298.225301]
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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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