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P

Statistical Mechanics of Support Vector Networks

Dietrich, R., Opper, M. and Sompolinsky, H.

Phys. Rev. Lett., 2975-2978. 1999

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Simulating Infinite Systems

Opper, M.

Physica A, 545–551. 1993

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Construction Algorithm for the Parity Machine

Biehl, M. and Opper, M.

Physica A, 307–313. 1993

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Probabilistic data modelling with adaptive TAP mean field theory

Opper, M. and Winther, O.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 119-125. 2001

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Support Vector machines learning noisy polynomial rules

Opper, M. and Urbanczik, R.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 110-118. 2001

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Estimating parameters in stochastic systems: A variational Bayesian approach

Vrettas, M. D., Cornford, D. and Opper, M.

Physica D: Nonlinear Phenomena. Elsevier, 1877-1900. 2011

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The Generalization Ability of Perceptrons with Continuous Outputs

Bös, S., Kinzel, W. and Opper, M.

Physical Review E, 1384. 1993

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Adaptive and Selfaveraging TAP Mean Field Theory

Opper, M. and Winther, O.

Physical Review E, 056131. 2001

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Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity

Macke, J., Opper, M. and Bethge, M.

Physical Review Letters. American Physical Society, 208102. 2011

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Physik lernender Netzwerke (physics of learning networks)

Opper, M.

Physikalische Blätter, 569–574. 1992

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Z

The Quantum Lifetime of the Davydov Soliton

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

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