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Critical Storage Capacity of the $J= \pm 1$ Neural Network

Krauth, W. and Opper, M.

J. Phys. A, L519–L523. 1989

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Basins of Attraction near the Critical Storage Capacity for Neural Networks with Constant Stabilities

Opper, M., Kleinz, J., Köhler, H. and Kinzel, W.

J. Phys. A, L407–L411. 1989

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Learning in Neural Networks: Solvable Dynamics

Opper, M.

Europhys. Lett., 389–392. 1989

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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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On the Ability of the Optimal Perceptron to Generalize

Opper, M., Kinzel, W., Kleinz, J. and Nehl, R.

J. Phys. A, L581–L586. 1990

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Distribution of Internal Fields and Dynamics of Neural Networks

Henkel, R. D. and Opper, M.

Europhys. Lett., 403–408. 1990

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Learning algorithm for a Neural Network with binary synapses

Köhler, H., Diederich, S., Kinzel, W. and Opper, M.

Zeitschrift für Physik B, 333–342. 1990

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Tilinglike Learning in the Parity Machine

Biehl, M. and Opper, M.

Phys. Rev. A, 6888–6894. 1991

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The Quantum Lifetime of the Davydov Soliton

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

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Dynamics of Learning

Kinzel, W. and Opper, M.

Physics of Neural Networks. Springer Verlag, 149–171. 1991

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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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