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TU Berlin

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Prof. Dr. Manfred Opper

Lupe

Head of Research Group AI
Office: FR 5059
Phone: +49 30 314-73749
E-Mail: manfred.opper <AT> tu-berlin.de
Consulting hour according to agreement

Publications

2005

Expectation Consistent Free Energies for Approximate Inference

Manfred Opper and Ole Winther

Advances in Neural Information Processing Systems 17 2005

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Sequential, Bayesian geostatistics: A principled method for large data sets

Dan Cornford and Lehel Csató and Manfred Opper

Geographical Analysis, 183-199. 2005

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Expectation Consistent Approximate Inference

Manfred Opper and Ole Winther

Journal of Machine Learning Research, 2177 - 2204. 2005

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Approximate inference techniques with expectation constraints

Tom Heskes and Manfred Opper and Wim Wiegerinck and Ole Winther and Onno Zoeter

Journal of Statistical Mechanics (JSTAT) 2005

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2004

Approximate Inference in Probabilistic Models

Manfred Opper and Ole Winther

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

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Approximate Analytical Bootstrap Averages for Support Vector Classifiers

Dörthe Malzahn and Manfred Opper

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

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Variational Linear Response

Manfred Opper and Ole Winther

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

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

Dan Cornford and Lehel Csató and David J. Evans and Manfred Opper

Journal Royal Statistical Society B, 1–17. 2004

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2003


Statistical Mechanics of Generalization

Manfred Opper

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

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A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages

Dörthe Malzahn and Manfred Opper

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

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An Approximate Analytical Approach to Resampling Averages

Dörthe Malzahn and Manfred Opper

Journal of Machine Learning Research, 1151–1173. 2003

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Postal Address

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
sec. MAR 4-2
Marchstrasse 23
D-10587 Berlin