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TU Berlin

Inhalt des Dokuments

Publikationsliste

O

Pattern Recognition

Opper, M.

Computersimulations in Physics, 20. IFF- Summer School KFA Juelich, 29.1–29.12. 1989

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Learning Rules and Learning Times in Neural Networks

Opper, M.

Dynamics of Networks. Akademie Verlag Berlin, 66-75. 1989

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Statistical Mechanics of Learning in Neural Network Models

Opper, M., Diederich, S. and Anlauf, J. K.

Chaos and Complexity. World Scientific, 219–223. 1987

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Expectation Consistent Free Energies for Approximate Inference

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 17 2005

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Variational Linear Response

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 16. MIT Press. 2004

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Asymptotic Universality for Learning Curves of Support Vector Machines

Opper, M. and Urbanczik, R.

Advances in Neural Information Processing Systems 14. MIT Press, 479-486. 2002

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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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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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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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Supervised Learning: Information Theoretic Bounds on Predictive Errors

Opper, M. and Haussler, D.

Proceedings of the IEEE workshop on Information Theory (ITW'95), 6.2. 1995

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Learning in Artificial Neural Networks: The Statistical Mechanics Approach

Opper, M.

Supercomputing in Brain Reasearch: From Tomography to Neural Networks. World Scientific, 321–330. 1995

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Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise

Opper, M. and Haussler, D.

Proceedings of the Fourth Annual Conference on Computational Learning Theory. Morgan Kaufmann, 75–87. 1991

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Statistical Mechanics of Learning in Neural Network Models

Opper, M., Diederich, S. and Anlauf, J. K.

Neural Networks from Models to Applications. I.D.S.E.T., Paris, 235–243. 1988

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