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Inhalt des Dokuments

Prof. Dr. Manfred Opper

Lupe [1]
  • Leiter der Einheit KI
  • Raum: MAR 4.017
  • Telefon: +4930 314-73749
  • E-Mail: manfred.opper <AT> tu-berlin.de

 

 


Sprechstunde nach Vereinbarung

  • Forschungsgebiete [2]
  • Publikationen [3]
  • Lebenslauf [4]

Publikationen

<< zurück [5]
vor >> [17]

Mean field methods for classification with Gaussian processes [21]

Manfred Opper and Ole Winther

Advances in Neural Information Processing Systems 11. MIT Press, 309-315. 1999

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

Finite Dimensional Approximation of Gaussian Processes [24]

Giancarlo Ferrari Trecate and Christopher K.I. Williams and Manfred Opper

Advances in Neural Information Processing Systems 11. MIT Press, 218-224. 1999

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

Replicator Dynamics [27]

Manfred Opper and Sigurd Diederich

Proceedings of the Europhysics Conference on Computational Physics CCP 1998. Elsevier Science, 141-144. 1999

Download Bibtex Eintrag [28]

A mean field algorithm for Bayes learning in large feedforward neural networks [29]

Manfred Opper and Ole Winther

Advances in Neural Information Processing Systems 9. MIT Press, 225-231. 1997

Link zur Publikation [30] Download Bibtex Eintrag [31]

Dynamics of Training [32]

S. Bös and Manfred Opper

Advances in Neural Information Processing Systems 9. MIT Press, 141-147. 1997

Link zur Publikation [33] Download Bibtex Eintrag [34]

General Bounds on the Mutual Information Between a Parameter and $n$ Conditionally Independent Observations [35]

David Haussler and Manfred Opper

Proceedings of the Eighth Annual Conference on Computational Learning Theory. ACM Press, 402-411. 1995

Link zur Publikation [36] Download Bibtex Eintrag [37]

Supervised Learning: Information Theoretic Bounds on Predictive Errors [38]

Manfred Opper and David Haussler

Proceedings of the IEEE workshop on Information Theory (ITW'95), 6.2. 1995

Link zur Publikation [39] Download Bibtex Eintrag [40]

Learning in Artificial Neural Networks: The Statistical Mechanics Approach [41]

Manfred Opper

Supercomputing in Brain Reasearch: From Tomography to Neural Networks. World Scientific, 321–330. 1995

Download Bibtex Eintrag [42]

Query by committee [43]

H. Sebastian Seung and Manfred Opper and Haim Sompolinsky

Proceedings of the Fifth Annual Conference on Computational Learning Theory. ACM Press, 287-294. 1992

Link zur Publikation [44] Download Bibtex Eintrag [45]

Estimating Average - Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods [46]

David Haussler and Michael Kearns and Manfred Opper and Robert E. Schapire

Advances in Neural Information Processing Systems 4. Morgan Kaufmann, 855–862. 1992

Download Bibtex Eintrag [47]

Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise [48]

Manfred Opper and David Haussler

Proceedings of the Fourth Annual Conference on Computational Learning Theory. Morgan Kaufmann, 75–87. 1991

Download Bibtex Eintrag [49]

Statistical Mechanics of Learning in Neural Network Models [50]

Manfred Opper and Sigurd Diederich and Joachim K. Anlauf

Neural Networks from Models to Applications. I.D.S.E.T., Paris, 235–243. 1988

Download Bibtex Eintrag [51]

Learning by Error Correction in Spin Glass Models of Neural Networks [52]

Sigurd Diederich and Manfred Opper and Rolf Dieter Henkel and Wolfgang Kinzel

Computer Simulations in Brain Science. Cambridge University Press. 1988

Download Bibtex Eintrag [53]

Resonant and Quasiclassical Excitations of Solitons in the Alpha- Helix [54]

Hannes Bolterauer and Rolf Dieter Henkel and Manfred Opper

Structure, Coherence and Chaos in Dynamical Systems. Manchester University Press, 625–631. 1986

Download Bibtex Eintrag [55]

Statistische Mechanik des Lernens in neuronalen Netzwerken (Statistical mechanics of learning in neural networks [56]

Manfred Opper

1991

Download Bibtex Eintrag [57]

<< zurück [58]
vor >> [70]

Postadresse

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
Sekr. MAR 4-2
Marchsstrasse 23
D-10587 Berlin
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