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Inhalt des Dokuments

Publikationsliste

1995

Learning of Correlated Patterns in Perceptrons

López, B. J., Schröder, M. and Opper, M.

J. Phys. A, L447. 1995

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On the Relaxation of Infinite Range Spin Glasses

Scharnagl, A., Opper, M. and Kinzel, W.

J. Phys. A, 5721-5727. 1995

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Mutual Information and Bayes Methods for Learning a Distribution

Haussler, D. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 42–50. 1995

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General Bounds for Predictive Errors in Supervised Learning

Opper, M. and Haussler, D.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 51-58. 1995

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Perceptron Learning: The Largest Version Space

Biehl, M. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 59-72. 1995

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Statistical Mechanics of Learning: Generalization

Opper, M.

The Handbook of Brain Theory and Neural Networks, (1st edition). MIT Press, 922-925. 1995

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General Bounds on the Mutual Information Between a Parameter and $n$ Conditionally Independent Observations

Haussler, D. and Opper, M.

Proceedings of the Eighth Annual Conference on Computational Learning Theory. ACM Press, 402-411. 1995

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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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Maximal Stability in Unsupervised Learning

Mietzner, A., Opper, M. and Kinzel, W.

J. Phys. A, 2785–2797. 1995

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1996

Physics of Generalization

Opper, M. and Kinzel, W.

Physics of Neural Networks III. by Springer Verlag, 151–209. 1996

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