direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

List of Publications

<< previous [1]
next >> [17]

H

Parameter Estimation in Potts Models as an Instance of Probabilistic Programming via Imperatively Defined Factor Graphs [21]

Hanefeld, A.

2014 TU Berlin

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

A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding [24]

Harel, Y., Meir, R. and Opper, M.

Advances in Neural Information Processing Systems 28, 1594–1602. 2015

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

Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed–Form Approixmation [27]

Harel, Y., Meir, R. and Opper, M.

Neural Computation, 2056–2112. 2018

Download Bibtex entry [28]

Metric Entropy and Minimax Risk in Classification [29]

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 [30] Download Bibtex entry [31]

Mutual Information and Bayes Methods for Learning a Distribution [32]

Haussler, D. and Opper, M.

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

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

General Bounds on the Mutual Information Between a Parameter and $n$ Conditionally Independent Observations [35]

Haussler, D. and Opper, M.

Proceedings of the Eighth Annual Conference on Computational Learning Theory. ACM Press, 402-411. 1995

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

Estimating Average - Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods [38]

Haussler, D., Kearns, M., Opper, M. and Schapire, R. E.

Advances in Neural Information Processing Systems 4. Morgan Kaufmann, 855–862. 1992

Download Bibtex entry [39]

Mutual Information, Metric Entropy, and Risk in Estimation of Probability Distributions [40]

Haussler, D. and Opper, M.

Annals of Statistics, 2451–2492. 1997

Download Bibtex entry [41]

Classification with Deep Belief Networks [42]

Hebbo, H. and Kim, J. W.

2013

Link to publication [43] Download Bibtex entry [44]

Parallel Dynamics of the Neural Network with Pseudoinverse Coupling Matrix [45]

Henkel, R. D. and Opper, M.

J. Phys A, 2201–2218. 1991

Download Bibtex entry [46]

Distribution of Internal Fields and Dynamics of Neural Networks [47]

Henkel, R. D. and Opper, M.

Europhys. Lett., 403–408. 1990

Download Bibtex entry [48]

Bayesian Inference for a Cox-Ingersoll-Ross Model with changing Parameters and Application to Finance Data [49]

Herrmann, J.

2014 Technische Universität Berlin

Link to publication [50] Download Bibtex entry [51]

Retarded Learning: Rigorous Results from Statistical Mechanics [52]

Herschkowitz, D. and Opper, M.

Phys. Rev. Lett., 2174-2177. 2001

Link to publication [53] Download Bibtex entry [54]

Approximate inference techniques with expectation constraints [55]

Heskes, T., Opper, M., Wiegerinck, W., Winther, O. and Zoeter, O.

Journal of Statistical Mechanics (JSTAT) 2005

Link to publication [56] Download Bibtex entry [57]

Gaussian Processes for Global Optimization [58]

Hjelm, M. and Han, J.-W.

2011

Link to publication [59] Download Bibtex entry [60]

<< previous [61]
next >> [77]
------ Links: ------

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Copyright TU Berlin 2008