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Publikationsliste

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1997

Mutual Information, Metric Entropy, and Risk in Estimation of Probability Distributions [21]

Haussler, D. and Opper, M.

Annals of Statistics, 2451–2492. 1997

Download Bibtex Eintrag [22]

Convexity, Internal Representations and the Statistical Mechanics of Neural Networks [23]

Opper, M., Mietzner, A. and Kuhlmann, P.

Europhys. Lett., 31-36. 1997

Link zur Publikation [24] Download Bibtex Eintrag [25]

1996

Physics of Generalization [26]

Opper, M. and Kinzel, W.

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

Download Bibtex Eintrag [27]

Selection of examples for the linear classifier [28]

Jung, G. and Opper, M.

J. Phys. A, 1367-1380. 1996

Link zur Publikation [29] Download Bibtex Eintrag [30]

Online versus Offline Learning from Random Examples: General Results [31]

Opper, M.

Phys. Rev. Lett., 4671-4674. 1996

Link zur Publikation [32] Download Bibtex Eintrag [33]

A mean field approach to Bayes learning in feed–forward neural networks [34]

Opper, M. and Winther, O.

Phys. Rev. Lett., 1964-1967. 1996

Link zur Publikation [35] Download Bibtex Eintrag [36]

1995

Bounds for Predictive Errors in the Statistical Mechanics of Supervised Learning [37]

Opper, M. and Haussler, D.

Phys. Rev. Lett., 3772-3775. 1995

Link zur Publikation [38] Download Bibtex Eintrag [39]

Learning of Correlated Patterns in Perceptrons [40]

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

J. Phys. A, L447. 1995

Download Bibtex Eintrag [41]

On the Relaxation of Infinite Range Spin Glasses [42]

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

J. Phys. A, 5721-5727. 1995

Link zur Publikation [43] Download Bibtex Eintrag [44]

Statistical Physics Estimates for the Complexity of Feedworward Neural Networks [45]

Opper, M.

Phys. Rev E, 3613–3618. 1995

Download Bibtex Eintrag [46]

Mutual Information and Bayes Methods for Learning a Distribution [47]

Haussler, D. and Opper, M.

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

Link zur Publikation [48] Download Bibtex Eintrag [49]

General Bounds for Predictive Errors in Supervised Learning [50]

Opper, M. and Haussler, D.

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

Link zur Publikation [51] Download Bibtex Eintrag [52]

Perceptron Learning: The Largest Version Space [53]

Biehl, M. and Opper, M.

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

Link zur Publikation [54] Download Bibtex Eintrag [55]

Statistical Mechanics of Learning: Generalization [56]

Opper, M.

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

Link zur Publikation [57] Download Bibtex Eintrag [58]

General Bounds on the Mutual Information Between a Parameter and $n$ Conditionally Independent Observations [59]

Haussler, D. and Opper, M.

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

Link zur Publikation [60] Download Bibtex Eintrag [61]

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