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List of Publications

1999

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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2000

Imparare a Generalizzare (Learning to Generalize)

Opper, M.

Frontiere della Biologia. Istituto della Enciclopedia Italiana Treccani, 717-729. 2000

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Statistical Mechanics of SVMs

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

Advances in Large Margin Classifiers. MIT Press, 359-367. 2000

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Gaussian Processes and SVM: Mean Field Results and Leave-One-Out

Opper, M. and Winther, O.

Advances in Large Margin Classifiers. MIT Press, 311–326. 2000

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Continuous drifting games

Freund, Y. and Opper, M.

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory. Morgan Kaufmann, 126-132. 2000

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Efficient Approaches to Gaussian Process Classification

Csató, L., Fokou´e, E., Opper, M., Schottky, B. and Winther, O.

Advances in Neural Information Processing Systems 12. MIT Press, 251-257. 2000

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2001


Learning to Generalize

Opper, M.

Frontiers of Life. Academic Press, 763-775. 2001

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Adaptive TAP Equations

Opper, M. and Winther, O.

Advanced Mean Field Methods: Theory and Practice. MIT Press, 85-97. 2001

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From Naive Mean Field Theory to the TAP Equations

Opper, M. and Winther, O.

Advanced Mean Field Methods: Theory and Practice. MIT Press, 7-20. 2001

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Learning curves for Gaussian processes models: Fluctuations and Universality

Malzahn, D. and Opper, M.

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 271-276. 2001

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