direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Publikationsliste

<< zurück [1]

1 [2] | 2 [3] | 3 [4] | 4 [5] | 5 [6] | 6 [7] | 7 [8] | 8 [9] | 9 [10] | 10 [11] | 11 [12] | 12 [13] | 13 [14] | 14 [15] | Sie sind auf Seite:15 | 16 [16]

vor >> [17]

Sortieren nach: Autor [18]  Jahr [19]  Journal [20]

P

Statistical Mechanics of Support Vector Networks [21]

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

Phys. Rev. Lett., 2975-2978. 1999

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

Online versus Offline Learning from Random Examples: General Results [24]

Opper, M.

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

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

A mean field approach to Bayes learning in feed–forward neural networks [27]

Opper, M. and Winther, O.

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

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

Simulating Infinite Systems [30]

Opper, M.

Physica A, 545–551. 1993

Download Bibtex Eintrag [31]

Construction Algorithm for the Parity Machine [32]

Biehl, M. and Opper, M.

Physica A, 307–313. 1993

Download Bibtex Eintrag [33]

Probabilistic data modelling with adaptive TAP mean field theory [34]

Opper, M. and Winther, O.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 119-125. 2001

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

Support Vector machines learning noisy polynomial rules [37]

Opper, M. and Urbanczik, R.

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 110-118. 2001

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

Estimating parameters in stochastic systems: A variational Bayesian approach [40]

Vrettas, M. D., Cornford, D. and Opper, M.

Physica D: Nonlinear Phenomena. Elsevier, 1877-1900. 2011

Download Bibtex Eintrag [41]

The Generalization Ability of Perceptrons with Continuous Outputs [42]

Bös, S., Kinzel, W. and Opper, M.

Physical Review E, 1384. 1993

Download Bibtex Eintrag [43]

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations [44]

Vrettas, M. D., Cornford, D. and Opper, M.

Physical Review E, 012148. 2015

Download Bibtex Eintrag [45]

Successful attack on permutation-parity-machine-based neural cryptography [46]

Iglesias, L. F. S. and Ruttor, A.

Physical Review E, 025101(R). 2012

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

Adaptive and Selfaveraging TAP Mean Field Theory [49]

Opper, M. and Winther, O.

Physical Review E, 056131. 2001

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

Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity [52]

Macke, J., Opper, M. and Bethge, M.

Physical Review Letters. American Physical Society, 208102. 2011

Download Bibtex Eintrag [53]

Physik lernender Netzwerke (physics of learning networks) [54]

Opper, M.

Physikalische Blätter, 569–574. 1992

Download Bibtex Eintrag [55]

Z

The Quantum Lifetime of the Davydov Soliton [56]

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

Download Bibtex Eintrag [57]
<< zurück [58]

1 [59] | 2 [60] | 3 [61] | 4 [62] | 5 [63] | 6 [64] | 7 [65] | 8 [66] | 9 [67] | 10 [68] | 11 [69] | 12 [70] | 13 [71] | 14 [72] | Sie sind auf Seite:15 | 16 [73]

vor >> [74]
------ Links: ------

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe

Hilfsfunktionen

Schriftgröße:
kleiner
Standardgröße
größer
Copyright TU Berlin 2008