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Publikationsliste

2001

Online Learning of Wind-Field Models

Csató, L., Cornford, D. and Opper, M.

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 300-307. 2001

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Sparse Representation for Gaussian Process Models

Csató, L. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 444-450. 2001

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Learning Curves for Gaussian processes regression: A framework for good approximations

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 273-279. 2001

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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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Universal learning curves of support vector machines

Opper, M. and Urbanczik, R.

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

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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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2002

Data Assimilation with Sequential Gaussian Processes

Csató, L., Cornford, D. and Opper, M.

Uncertainty in geometrical computation, published by: Kluwer. Kluwer, 29-40. 2002

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Asymptotic Universality for Learning Curves of Support Vector Machines

Opper, M. and Urbanczik, R.

Advances in Neural Information Processing Systems 14. MIT Press, 479-486. 2002

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A Variational Approach to Learning Curves

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 14. MIT Press, 463-469. 2002

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TAP Gibbs Free Energy, Belief Propagation and Sparsity

Csató, L., Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 14. MIT Press, 657-663. 2002

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Drifting Games and Brownian Motion

Freund, Y. and Opper, M.

Journal of Computer and System Sciences, 113-132. 2002

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Sparse On-Line Gaussian Processes

Csató, L. and Opper, M.

Neural Computation, 641 - 668. 2002

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