direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

List of Publications

<< previous

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | You are at page:9 | 10 | 11 | 12 | 13 | 14 | 15 | 16

next >>

Order by: Author  Year  Journal

Imparare a Generalizzare (Learning to Generalize)

Opper, M.

Frontiere della Biologia. Istituto della Enciclopedia Italiana Treccani, 717-729. 2000

Download Bibtex entry

Statistical Mechanics of SVMs

Dietrich, R., Opper, M. and Sompolinsky, H.

Advances in Large Margin Classifiers. MIT Press, 359-367. 2000

Link to publication Download Bibtex entry

Gaussian Processes and SVM: Mean Field Results and Leave-One-Out

Opper, M. and Winther, O.

Advances in Large Margin Classifiers. MIT Press, 311–326. 2000

Download Bibtex entry

Worst Case Prediction over Sequences under Log Loss

Opper, M. and Haussler, D.

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

Link to publication Download Bibtex entry

A Bayesian Approach to Online Learning

Opper, M.

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

Link to publication Download Bibtex entry

Regression with Gaussian Processes: Average Case Performance

Opper, M.

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

Link to publication Download Bibtex entry

Metric Entropy and Minimax Risk in Classification

Haussler, D. and Opper, M.

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

Link to publication Download Bibtex entry

Physics of Generalization

Opper, M. and Kinzel, W.

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

Download Bibtex entry

Mutual Information and Bayes Methods for Learning a Distribution

Haussler, D. and Opper, M.

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

Link to publication Download Bibtex entry

General Bounds for Predictive Errors in Supervised Learning

Opper, M. and Haussler, D.

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

Link to publication Download Bibtex entry

Perceptron Learning: The Largest Version Space

Biehl, M. and Opper, M.

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

Link to publication Download Bibtex entry

Statistical Mechanics of Learning: Generalization

Opper, M.

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

Link to publication Download Bibtex entry

Dynamics of Learning

Kinzel, W. and Opper, M.

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

Download Bibtex entry

Pattern Recognition

Opper, M.

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

Download Bibtex entry
<< previous

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | You are at page:9 | 10 | 11 | 12 | 13 | 14 | 15 | 16

next >>

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Font size:
smaller
default
bigger