direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

List of Publications

<< previous [1]

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

next >> [17]

Order by: Author [18]  Year [19]  Journal [20]

C

Bayesian Analysis of the Scatterometer Wind Retrieval inverse Problem: Some new Approaches [21]

Cornford, D., Csató, L., Evans, D. J. and Opper, M.

Journal Royal Statistical Society B, 1–17. 2004

Link to publication [22] Download Bibtex entry [23]

Sparse Gaussian processes: inference,subspace identification and model selection [24]

Csató, L. and Opper, M.

Proceedings of SYSID 2003, 1 - 6. 2003

Link to publication [25] Download Bibtex entry [26]

Data Assimilation with Sequential Gaussian Processes [27]

Csató, L., Cornford, D. and Opper, M.

Uncertainty in geometrical computation, published by: Kluwer. Kluwer, 29-40. 2002

Download Bibtex entry [28]

TAP Gibbs Free Energy, Belief Propagation and Sparsity [29]

Csató, L., Opper, M. and Winther, O.

Advances in Neural Information Processing Systems 14. MIT Press, 657-663. 2002

Link to publication [30] Download Bibtex entry [31]

Online Learning of Wind-Field Models [32]

Csató, L., Cornford, D. and Opper, M.

Proceedings of the International Conference on Artificial Neural Networks 2001. Springer–Verlag, 300-307. 2001

Link to publication [33] Download Bibtex entry [34]

Sparse Representation for Gaussian Process Models [35]

Csató, L. and Opper, M.

Advances in Neural Information Processing Systems 13. MIT Press, 444-450. 2001

Link to publication [36] Download Bibtex entry [37]

Efficient Approaches to Gaussian Process Classification [38]

Csató, L., Fokou´e, E., Opper, M., Schottky, B. and Winther, O.

Advances in Neural Information Processing Systems 12. MIT Press, 251-257. 2000

Link to publication [39] Download Bibtex entry [40]

Tractable Inference for Probabilistic Data Models [41]

Csató, L., Opper, M. and Winther, O.

Complexity, 64-68. 2003

Link to publication [42] Download Bibtex entry [43]

Sparse On-Line Gaussian Processes [44]

Csató, L. and Opper, M.

Neural Computation, 641 - 668. 2002

Link to publication [45] Download Bibtex entry [46]

Expectation propagation for continuous time stochastic processes [47]

Cseke, B., Schnoerr, D., Opper, M. and Sanguinetti, G.

Journal of Physics A: Mathematical and Theoretical. IOPscience, 494002. 2016

Link to publication [48] Download Bibtex entry [49]

Approximate inference in latent Gaussian-Markov models from continuous time observations [50]

Cseke, B., Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems, 971–979. 2013

Link to publication [51] Download Bibtex entry [52]

D

Replicators with Random Interactions- a Solvable Model [53]

Diederich, S. and Opper, M.

Phys. Rev. A (Rapid Comm.), 4333. 1989

Download Bibtex entry [54]

Learning of Correlated Patterns in Spin- Glass Networks by Local Learning Rules [55]

Diederich, S. and Opper, M.

Phys. Rev. Lett., 949–952. 1987

Download Bibtex entry [56]

Learning by Error Correction in Spin Glass Models of Neural Networks [57]

Diederich, S., Opper, M., Henkel, R. D. and Kinzel, W.

Computer Simulations in Brain Science. Cambridge University Press. 1988

Download Bibtex entry [58]

Calculating eddy currents for turbomolecular pumps in magnetic fields [59]

Diederich, S. and Opper, M.

1985

Download Bibtex entry [60]
<< previous [61]

1 [62] | 2 [63] | You are at page:3 | 4 [64] | 5 [65] | 6 [66] | 7 [67] | 8 [68] | 9 [69] | 10 [70] | 11 [71] | 12 [72] | 13 [73] | 14 [74] | 15 [75] | 16 [76]

next >> [77]
------ Links: ------

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Font size:
smaller
default
bigger
Copyright TU Berlin 2008