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List of Publications

2001

Learning Curves for Gaussian processes regression: A framework for good approximations

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 273-279. 2001

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Adaptive and Selfaveraging TAP Mean Field Theory

Opper, M. and Winther, O.

Physical Review E, 056131. 2001

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Universal learning curves of support vector machines

Opper, M. and Urbanczik, R.

Phys. Rev. Lett., 4410-4413. 2001

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Probabilistic data modelling with adaptive TAP mean field theory

Opper, M. and Winther, O.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 119-125. 2001

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Support Vector machines learning noisy polynomial rules

Opper, M. and Urbanczik, R.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 110-118. 2001

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Retarded Learning: Rigorous Results from Statistical Mechanics

Herschkowitz, D. and Opper, M.

Phys. Rev. Lett., 2174-2177. 2001

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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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1999

Worst Case Prediction over Sequences under Log Loss

Opper, M. and Haussler, D.

The IMA Volumes in Mathematics and Its Applications, Volume 107: The Mathematics of Information Coding, Extraction & Distribution. Springer Verlag, 81-90. 1999

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