direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

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]

L

On–line learning from a finite training set: A solvable model [21]

Bernado Lopez and Manfred Opper

Europhys. Lett., 275-281. 2000

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

Learning of Correlated Patterns in Perceptrons [24]

Bernardo J. López and Martin Schröder and Manfred Opper

J. Phys. A, L447. 1995

Download Bibtex Eintrag [25]

M

Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity [26]

Jakob Macke and Manfred Opper and Matthias Bethge

Physical Review Letters. American Physical Society, 208102. 2011

Download Bibtex Eintrag [27]

Approximate Analytical Bootstrap Averages for Support Vector Classifiers [28]

Dörthe Malzahn and Manfred Opper

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

Link zur Publikation [29] Download Bibtex Eintrag [30]

A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages [31]

Dörthe Malzahn and Manfred Opper

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

Link zur Publikation [32] Download Bibtex Eintrag [33]

A Variational Approach to Learning Curves [34]

Dörthe Malzahn and Manfred Opper

Advances in Neural Information Processing Systems 14. MIT Press, 463-469. 2002

Link zur Publikation [35] Download Bibtex Eintrag [36]

Learning curves for Gaussian processes models: Fluctuations and Universality [37]

Dörthe Malzahn and Manfred Opper

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 271-276. 2001

Link zur Publikation [38] Download Bibtex Eintrag [39]

Learning Curves for Gaussian processes regression: A framework for good approximations [40]

Dörthe Malzahn and Manfred Opper

Advances in Neural Information Processing Systems 13. MIT Press, 273-279. 2001

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

A statistical physics approach for the analysis of machine learning algorithms on real data [43]

Dörthe Malzahn and Manfred Opper

Journal of Statistical Mechanics (JSTAT) 2005

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

An Approximate Analytical Approach to Resampling Averages [46]

Dörthe Malzahn and Manfred Opper

Journal of Machine Learning Research, 1151–1173. 2003

Link zur Publikation [47] Download Bibtex Eintrag [48]

Learning Curves and Bootstrap Estimates for Inference with Gaussian Processes: A Statistical Mechanics Study [49]

Dörthe Malzahn and Manfred Opper

Complexity, 57-63. 2003

Link zur Publikation [50] Download Bibtex Eintrag [51]

Statistical Mechanics of Learning: A Variational Approach for Real Data [52]

Dörthe Malzahn and Manfred Opper

Phys. Rev. Lett., 108302.1-108302.4. 2002

Link zur Publikation [53] Download Bibtex Eintrag [54]

Maximal Stability in Unsupervised Learning [55]

Andreas Mietzner and Manfred Opper and Wolfgang Kinzel

J. Phys. A, 2785–2797. 1995

Download Bibtex Eintrag [56]

O

Bounds for Predictive Errors in the Statistical Mechanics of Supervised Learning [57]

Manfred Opper and David Haussler

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

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

Statistical Physics Estimates for the Complexity of Feedworward Neural Networks [60]

Manfred Opper

Phys. Rev E, 3613–3618. 1995

Download Bibtex Eintrag [61]

<< zurück [62]
vor >> [74]

Postadresse

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

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe

Copyright TU Berlin 2008