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Publikationsliste

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2005

Approximate inference techniques with expectation constraints [21]

Heskes, T., Opper, M., Wiegerinck, W., Winther, O. and Zoeter, O.

Journal of Statistical Mechanics (JSTAT) 2005

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

A statistical physics approach for the analysis of machine learning algorithms on real data [24]

Malzahn, D. and Opper, M.

Journal of Statistical Mechanics (JSTAT) 2005

Link zur Publikation [25] Download Bibtex Eintrag [26]

2004

Approximate Inference in Probabilistic Models [27]

Opper, M. and Winther, O.

Algorithmic Learning Theory. Springer Verlag, 494–504.. 2004

Link zur Publikation [28] Download Bibtex Eintrag [29]

Approximate Analytical Bootstrap Averages for Support Vector Classifiers [30]

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 16. MIT Press. 2004

Link zur Publikation [31] Download Bibtex Eintrag [32]

Variational Linear Response [33]

Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 16. MIT Press. 2004

Link zur Publikation [34] Download Bibtex Eintrag [35]

Neural cryptography with feedback [36]

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

Phys. Rev. E, 046110. 2004

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

Synchronization of random walks with reflecting boundaries [39]

Ruttor, A., Reents, G. and Kinzel, W.

J. Phys. A: Math. Gen., 8609-8618. 2004

Link zur Publikation [40] Download Bibtex Eintrag [41]

Bayesian Analysis of the Scatterometer Wind Retrieval inverse Problem: Some new Approaches [42]

Cornford, D., Csató, L., Evans, D. J. and Opper, M.

Journal Royal Statistical Society B, 1–17. 2004

Link zur Publikation [43] Download Bibtex Eintrag [44]

2003

The Complexity of Learning with Supportvector Machines - A Statistical Physics Study [45]

Opper, M.

Adaptivity and Learning. Springer Verlag, 101-108. 2003

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

Statistical Mechanics of Generalization [48]

Opper, M.

The Handbook of Brain Theory and Neural Networks, 2nd edition. MIT Press, 1087-1090. 2003

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

A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages [51]

Malzahn, D. and Opper, M.

Advances in Neural Information Processing Systems 15. MIT Press, 327-334. 2003

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

Sparse Gaussian processes: inference,subspace identification and model selection [54]

Csató, L. and Opper, M.

Proceedings of SYSID 2003, 1 - 6. 2003

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

Schlüsselaustausch mit neuronalen Netzen [57]

Ruttor, A.

2003 Universität Würzburg

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

An Approximate Analytical Approach to Resampling Averages [60]

Malzahn, D. and Opper, M.

Journal of Machine Learning Research, 1151–1173. 2003

Link zur Publikation [61] Download Bibtex Eintrag [62]

Learning Curves and Bootstrap Estimates for Inference with Gaussian Processes: A Statistical Mechanics Study [63]

Malzahn, D. and Opper, M.

Complexity, 57-63. 2003

Link zur Publikation [64] Download Bibtex Eintrag [65]

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