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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]

Worst Case Prediction over Sequences under Log Loss [21]

Manfred Opper and David Haussler

The IMA Volumes in Mathematics and Its Applications, Volume 107: The Mathematics of Information Coding, Extraction & Distribution. Springer Verlag, 81-90. 1999

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

On the Annealed VC Entropy for Margin Classifiers: A Statistical Mechanics Study [24]

Manfred Opper

Advances in Kernel Methods. MIT Press, 117-126. 1998

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

A Bayesian Approach to Online Learning [27]

Manfred Opper

Online Learning in Neural Networks. Cambridge University Press, 363-378. 1998

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

Regression with Gaussian Processes: Average Case Performance [30]

Manfred Opper

Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multi-disciplinary Perspective (TANC 97). World Scientific. 1997

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

Metric Entropy and Minimax Risk in Classification [33]

David Haussler and Manfred Opper

Lecture Notes in Computer Science: Studies in Logic and Computer Science, Vol. 1261. Springer, 212-235. 1997

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

Physics of Generalization [36]

Manfred Opper and Wolfgang Kinzel

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

Download Bibtex Eintrag [37]

Mutual Information and Bayes Methods for Learning a Distribution [38]

David Haussler and Manfred Opper

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

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

General Bounds for Predictive Errors in Supervised Learning [41]

Manfred Opper and David Haussler

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

Link zur Publikation [42] Download Bibtex Eintrag [43]

Perceptron Learning: The Largest Version Space [44]

Michael Biehl and Manfred Opper

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

Link zur Publikation [45] Download Bibtex Eintrag [46]

Statistical Mechanics of Learning: Generalization [47]

Manfred Opper

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

Link zur Publikation [48] Download Bibtex Eintrag [49]

Dynamics of Learning [50]

Wolfgang Kinzel and Manfred Opper

Physics of Neural Networks. Springer Verlag, 149–171. 1991

Download Bibtex Eintrag [51]

Pattern Recognition [52]

Manfred Opper

Computersimulations in Physics, 20. IFF- Summer School KFA Juelich, 29.1–29.12. 1989

Download Bibtex Eintrag [53]

Learning Rules and Learning Times in Neural Networks [54]

Manfred Opper

Dynamics of Networks. Akademie Verlag Berlin, 66-75. 1989

Download Bibtex Eintrag [55]

Statistical Mechanics of Learning in Neural Network Models [56]

Manfred Opper and Sigurd Diederich and Joachim K. Anlauf

Chaos and Complexity. World Scientific, 219–223. 1987

Download Bibtex Eintrag [57]

Wie stehe ich zur Philosophie, und was erwarte ich von ihr? (What are my views on philosophy and what do I expect from it? [58]

Manfred Opper

Wege zur Philosophie (paths to philosophy). Schwabe & Co. AG, 52–56. 1980

Download Bibtex Eintrag [59]

<< zurück [60]
vor >> [72]

Postadresse

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