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Order by: Author  Year  Journal

1999

General Bounds on Bayes errors for regression with Gaussian processes

Opper, M. and Vivarelli, F.

Advances in Neural Information Processing Systems 11. MIT Press, 302-308. 1999

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Mean field methods for classification with Gaussian processes

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 11. MIT Press, 309-315. 1999

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Finite Dimensional Approximation of Gaussian Processes

Trecate, G. F., Williams, C. K. and Opper, M.

Advances in Neural Information Processing Systems 11. MIT Press, 218-224. 1999

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Replicator Dynamics

Opper, M. and Diederich, S.

Proceedings of the Europhysics Conference on Computational Physics CCP 1998. Elsevier Science, 141-144. 1999

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Statistical Mechanics of Support Vector Networks

Dietrich, R., Opper, M. and Sompolinsky, H.

Phys. Rev. Lett., 2975-2978. 1999

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Bayes-optimal performance in a discrete space

Copelli, M., Broeck, C. V. d. and Opper, M.

Journal of Physics A, L555. 1999

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1998

A Bayesian Approach to Online Learning

Opper, M.

Online Learning in Neural Networks. Cambridge University Press, 363-378. 1998

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Statistical Mechanics of Learning in the Presence of Outliers

Dietrich, R. and Opper, M.

Journal of Physics A, 9131-9147. 1998

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1997

Regression with Gaussian Processes: Average Case Performance

Opper, M.

Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multi-disciplinary Perspective (TANC 97). World Scientific. 1997

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Metric Entropy and Minimax Risk in Classification

Haussler, D. and Opper, M.

Lecture Notes in Computer Science: Studies in Logic and Computer Science, Vol. 1261. Springer, 212-235. 1997

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A mean field algorithm for Bayes learning in large feedforward neural networks

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 9. MIT Press, 225-231. 1997

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Dynamics of Training

Bös, S. and Opper, M.

Advances in Neural Information Processing Systems 9. MIT Press, 141-147. 1997

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