nips nips2002 nips2002-161 nips2002-161-reference knowledge-graph by maker-knowledge-mining

161 nips-2002-PAC-Bayes & Margins


Source: pdf

Author: John Langford, John Shawe-Taylor

Abstract: unkown-abstract


reference text

[1] P. L. Bartlett,

[2] Thomas Cover and Joy Thomas,

[3] Ralf Herbrich and Thore Graepel, A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. In Advances in Neural fuformation Processing Systems 13, pages 224-230. 2001.

[4] T. Jaakkola, M. Mella, T. Jebara,

[5] John Langford and Rich Caruana, (Not) Bounding the True Error NIPS2001.

[6] John Langford, Matthias Seeger, and Nimrod Megiddo,

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[8] David McAllester,

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[10] Matthias Seeger,

[11] Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee,

[12] J. Shawe-Taylor, P. L. Bartlett, R. C. Williamson, and M. Anthony. Structural risk minimization over data-dependent hierarchies. IEEE funsactions on Information Theory, 44(5):1926--1940, 1998.