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Dynamics of neural cryptography [21]

Ruttor, A., Kanter, I. and Kinzel, W.

Phys. Rev. E, 056104. 2007

Link zur Publikation [22] Download Bibtex Eintrag [23]

Inferring hidden states in Langevin dynamics on large networks: Average case performance [24]

Bravi, B., Opper, M. and Sollich, P.

Phys. Rev. E. American Physical Society, 012122. 2017

Download Bibtex Eintrag [25]

Inverse Ising problem in continuous time: A latent variable approach [26]

Donner, C. and Opper, M.

Phys. Rev. E. American Physical Society, 062104. 2017

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

Approximate Bayes learning of stochastic differential equations [29]

Batz, P., Ruttor, A. and Opper, M.

Phys. Rev. E, 022109. 2018

Download Bibtex Eintrag [30]

Bounds for Predictive Errors in the Statistical Mechanics of Supervised Learning [31]

Opper, M. and Haussler, D.

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

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

Learning and Generalization in a Two–Layer Neural Network: The Role of the Vapnik–Chervonenkis–Dimension [34]

Opper, M.

Phys. Rev. Lett., 2113–2116. 1994

Download Bibtex Eintrag [35]

Phase Transition and $1/f$ Noise in a Game dynamical Model [36]

Opper, M. and Diederich, S.

Phys. Rev. Lett., 1616-1619. 1992

Link zur Publikation [37] Download Bibtex Eintrag [38]

New Method for Studying the Dynamics of Disordered Spin Systems without Finite–Size Effects [39]

Eissfeller, H. and Opper, M.

Phys. Rev. Lett., 2094–2097. 1992

Download Bibtex Eintrag [40]

Generalization Performance of Bayes Optimal Prediction Algorithm for Learning a Perceptron [41]

Opper, M. and Haussler, D.

Phys. Rev. Lett., 2677–2680. 1991

Download Bibtex Eintrag [42]

Learning of Correlated Patterns in Spin- Glass Networks by Local Learning Rules [43]

Diederich, S. and Opper, M.

Phys. Rev. Lett., 949–952. 1987

Download Bibtex Eintrag [44]

Efficient Statistical Inference for Stochastic Reaction Processes [45]

Ruttor, A. and Opper, M.

Phys. Rev. Lett., 230601. 2009

Link zur Publikation [46] Download Bibtex Eintrag [47]

Statistical Mechanics of Learning: A Variational Approach for Real Data [48]

Malzahn, D. and Opper, M.

Phys. Rev. Lett., 108302.1-108302.4. 2002

Link zur Publikation [49] Download Bibtex Eintrag [50]

Tractable approximations for probabilistic models: The adaptive TAP mean field approach [51]

Opper, M. and Winther, O.

Phys. Rev. Lett., 3695-3699. 2001

Link zur Publikation [52] Download Bibtex Eintrag [53]

Universal learning curves of support vector machines [54]

Opper, M. and Urbanczik, R.

Phys. Rev. Lett., 4410-4413. 2001

Link zur Publikation [55] Download Bibtex Eintrag [56]

Retarded Learning: Rigorous Results from Statistical Mechanics [57]

Herschkowitz, D. and Opper, M.

Phys. Rev. Lett., 2174-2177. 2001

Link zur Publikation [58] Download Bibtex Eintrag [59]

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