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 Transactions on Information Theory, 37:1034-1054, 1991.
	3	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]
	4	Nathan Linial , Yishay Mansour , Ronald L. Rivest, Results on learnability and the Vapnik-Chervonenkis dimension, Information and Computation, v.90 n.1, p.33-49, Jan. 1991  [doi>10.1016/0890-5401(91)90058-A]
	5	G. Lugosi and K. Zeger. Concept learning using complexity regularization. IEEE TRANsactions on Information Theory, 42:48-54, 1996.
	6	John Shawe-Taylor , Peter L. Bartlett , Robert C. Williamson , Martin Anthony, A framework for structural risk minimisation, Proceedings of the ninth annual conference on Computational learning theory, p.68-76, June 28-July 01, 1996, Desenzano del Garda, Italy  [doi>10.1145/238061.238070]
	7	John Shawe-Taylor , Robert C. Williamson, A PAC analysis of a Bayesian estimator, Proceedings of the tenth annual conference on Computational learning theory, p.2-9, July 06-09, 1997, Nashville, Tennessee, United States  [doi>10.1145/267460.267466]

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