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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]
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1997

Convexity, Internal Representations and the Statistical Mechanics of Neural Networks [21]

Manfred Opper and Andreas Mietzner and Peter Kuhlmann

Europhys. Lett., 31-36. 1997

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

1996

Physics of Generalization [24]

Manfred Opper and Wolfgang Kinzel

Physics of Neural Networks III. by Springer Verlag, 151–209. 1996

Download Bibtex Eintrag [25]

Selection of examples for the linear classifier [26]

Georg Jung and Manfred Opper

J. Phys. A, 1367-1380. 1996

Link zur Publikation [27] Download Bibtex Eintrag [28]

Online versus Offline Learning from Random Examples: General Results [29]

Manfred Opper

Phys. Rev. Lett., 4671-4674. 1996

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

A mean field approach to Bayes learning in feed–forward neural networks [32]

Manfred Opper and Ole Winther

Phys. Rev. Lett., 1964-1967. 1996

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

1995

Bounds for Predictive Errors in the Statistical Mechanics of Supervised Learning [35]

Manfred Opper and David Haussler

Phys. Rev. Lett., 3772-3775. 1995

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

Learning of Correlated Patterns in Perceptrons [38]

Bernardo J. López and Martin Schröder and Manfred Opper

J. Phys. A, L447. 1995

Download Bibtex Eintrag [39]

On the Relaxation of Infinite Range Spin Glasses [40]

Andrea Scharnagl and Manfred Opper and Wolfgang Kinzel

J. Phys. A, 5721-5727. 1995

Link zur Publikation [41] Download Bibtex Eintrag [42]

Statistical Physics Estimates for the Complexity of Feedworward Neural Networks [43]

Manfred Opper

Phys. Rev E, 3613–3618. 1995

Download Bibtex Eintrag [44]

Mutual Information and Bayes Methods for Learning a Distribution [45]

David Haussler and Manfred Opper

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 42–50. 1995

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

General Bounds for Predictive Errors in Supervised Learning [48]

Manfred Opper and David Haussler

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 51-58. 1995

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

Perceptron Learning: The Largest Version Space [51]

Michael Biehl and Manfred Opper

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 59-72. 1995

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

Statistical Mechanics of Learning: Generalization [54]

Manfred Opper

The Handbook of Brain Theory and Neural Networks, (1st edition). MIT Press, 922-925. 1995

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

General Bounds on the Mutual Information Between a Parameter and $n$ Conditionally Independent Observations [57]

David Haussler and Manfred Opper

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

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

Supervised Learning: Information Theoretic Bounds on Predictive Errors [60]

Manfred Opper and David Haussler

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

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

<< zurück [63]
vor >> [75]

Postadresse

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