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List of Publications

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2001

Online Learning of Wind-Field Models [21]

Csató, L., Cornford, D. and Opper, M.

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

Link to publication [22] Download Bibtex entry [23]

Sparse Representation for Gaussian Process Models [24]

Csató, L. and Opper, M.

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

Link to publication [25] Download Bibtex entry [26]

Learning Curves for Gaussian processes regression: A framework for good approximations [27]

Malzahn, D. and Opper, M.

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

Link to publication [28] Download Bibtex entry [29]

Tractable approximations for probabilistic models: The adaptive TAP mean field approach [30]

Opper, M. and Winther, O.

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

Link to publication [31] Download Bibtex entry [32]

Adaptive and Selfaveraging TAP Mean Field Theory [33]

Opper, M. and Winther, O.

Physical Review E, 056131. 2001

Link to publication [34] Download Bibtex entry [35]

Universal learning curves of support vector machines [36]

Opper, M. and Urbanczik, R.

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

Link to publication [37] Download Bibtex entry [38]

Probabilistic data modelling with adaptive TAP mean field theory [39]

Opper, M. and Winther, O.

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

Link to publication [40] Download Bibtex entry [41]

Support Vector machines learning noisy polynomial rules [42]

Opper, M. and Urbanczik, R.

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

Link to publication [43] Download Bibtex entry [44]

Retarded Learning: Rigorous Results from Statistical Mechanics [45]

Herschkowitz, D. and Opper, M.

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

Link to publication [46] Download Bibtex entry [47]

2002

Data Assimilation with Sequential Gaussian Processes [48]

Csató, L., Cornford, D. and Opper, M.

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

Download Bibtex entry [49]

Asymptotic Universality for Learning Curves of Support Vector Machines [50]

Opper, M. and Urbanczik, R.

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

Link to publication [51] Download Bibtex entry [52]

A Variational Approach to Learning Curves [53]

Malzahn, D. and Opper, M.

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

Link to publication [54] Download Bibtex entry [55]

TAP Gibbs Free Energy, Belief Propagation and Sparsity [56]

Csató, L., Opper, M. and Winther, O.

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

Link to publication [57] Download Bibtex entry [58]

Drifting Games and Brownian Motion [59]

Freund, Y. and Opper, M.

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

Link to publication [60] Download Bibtex entry [61]

Sparse On-Line Gaussian Processes [62]

Csató, L. and Opper, M.

Neural Computation, 641 - 668. 2002

Link to publication [63] Download Bibtex entry [64]

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