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Publikationsliste

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E

Learning in Neural Networks: Solvable Dynamics [21]

Opper, M.

Europhys. Lett., 389–392. 1989

Download Bibtex Eintrag [22]

On–line learning from a finite training set: A solvable model [23]

Lopez, B. and Opper, M.

Europhys. Lett., 275-281. 2000

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

Convexity, Internal Representations and the Statistical Mechanics of Neural Networks [26]

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

Europhys. Lett., 31-36. 1997

Link zur Publikation [27] Download Bibtex Eintrag [28]

G

Sequential, Bayesian geostatistics: A principled method for large data sets [29]

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

Download Bibtex Eintrag [30]

J

An Estimator for the Relative Entropy Rate of Path Measures for Stochastic Differential Equations [31]

M., O.

J. Comput. Phys.. Academic Press Professional, Inc., 127–133. 2017

Download Bibtex Eintrag [32]

Parallel Dynamics of the Neural Network with Pseudoinverse Coupling Matrix [33]

Henkel, R. D. and Opper, M.

J. Phys A, 2201–2218. 1991

Download Bibtex Eintrag [34]

Learning of Correlated Patterns in Perceptrons [35]

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

J. Phys. A, L447. 1995

Download Bibtex Eintrag [36]

On the Relaxation of Infinite Range Spin Glasses [37]

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

J. Phys. A, 5721-5727. 1995

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

Statistical Mechanics of the Knapsack Problem [40]

Korutcheva, E., Opper, M. and López, B. J.

J. Phys. A, L645–L650. 1994

Download Bibtex Eintrag [41]

Exact Solution to a Toy Random Field Model [42]

Opper, M.

J. Phys. A, L719–L722. 1993

Download Bibtex Eintrag [43]

The effect of correlations in neural networks [44]

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

J. Phys. A, 3165–3185. 1993

Download Bibtex Eintrag [45]

On the Ability of the Optimal Perceptron to Generalize [46]

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

J. Phys. A, L581–L586. 1990

Download Bibtex Eintrag [47]

Critical Storage Capacity of the $J= pm 1$ Neural Network [48]

Krauth, W. and Opper, M.

J. Phys. A, L519–L523. 1989

Download Bibtex Eintrag [49]

Basins of Attraction near the Critical Storage Capacity for Neural Networks with Constant Stabilities [50]

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

J. Phys. A, L407–L411. 1989

Download Bibtex Eintrag [51]

Solution of a random Chain Problem- an Approach using Canonical Variables of an Integrable System [52]

Opper, M.

J. Phys. A, L1073–L1077. 1986

Download Bibtex Eintrag [53]

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