Search results for "Manfred Opper"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Florian Stimberg, Andreas Ruttor, Manfred Opper	Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Hilbert J. Kappen, Vicenç Gómez, Manfred Opper	Optimal control as a graphical model inference problem.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Fabiano Ribeiro, Manfred Opper	Expectation Propagation with Factorizing Distributions: A Gaussian Approximation and Performance Results for Simple Models.	Neural Computation	2011	DBLP DOI BibTeX RDF
1	Florian Stimberg, Manfred Opper, Guido Sanguinetti, Andreas Ruttor	Inference in continuous-time change-point models.	NIPS	2011	DBLP BibTeX RDF
1	Alex K. Susemihl, Ron Meir, Manfred Opper	Analytical Results for the Error in Filtering of Gaussian Processes.	NIPS	2011	DBLP BibTeX RDF
1	Manfred Opper, Guido Sanguinetti	Learning combinatorial transcriptional dynamics from gene expression data.	Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Steffen Grünewälder, Jean-Yves Audibert, Manfred Opper, John Shawe-Taylor	Regret Bounds for Gaussian Process Bandit Problems.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Andreas Ruttor, Manfred Opper	Approximate parameter inference in a stochastic reaction-diffusion model.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Barillec	A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.	Signal Processing Systems	2010	DBLP DOI BibTeX RDF
1	Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen	A new variational radial basis function approximation for inference in multivariate diffusions.	Neurocomputing	2010	DBLP DOI BibTeX RDF
1	Manfred Opper, Andreas Ruttor, Guido Sanguinetti	Approximate inference in continuous time Gaussian-Jump processes.	NIPS	2010	DBLP BibTeX RDF
1	Guido Sanguinetti, Andreas Ruttor, Manfred Opper, Cédric Archambeau	Switching regulatory models of cellular stress response.	Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Ulrich Paquet, Ole Winther, Manfred Opper	Perturbation Corrections in Approximate Inference: Mixture Modelling Applications.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Bert Kappen, Vicenç Gómez, Manfred Opper	Optimal control as a graphical model inference problem	CoRR	2009	DBLP BibTeX RDF
1	Manfred Opper, Cédric Archambeau	The Variational Gaussian Approximation Revisited.	Neural Computation	2009	DBLP DOI BibTeX RDF
1	Manfred Opper, Ulrich Paquet, Ole Winther	Improving on Expectation Propagation.	NIPS	2008	DBLP BibTeX RDF
1	Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor	Gaussian Process Approximations of Stochastic Differential Equations.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Manfred Opper, Guido Sanguinetti	Variational inference for Markov jump processes.	NIPS	2007	DBLP BibTeX RDF
1	Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor	Variational Inference for Diffusion Processes.	NIPS	2007	DBLP BibTeX RDF
1	Manfred Opper, Ole Winther	Expectation Consistent Approximate Inference.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Manfred Opper	An Approximate Inference Approach for the PCA Reconstruction Error.	NIPS	2005	DBLP BibTeX RDF
1	Manfred Opper, Ole Winther	Approximate Inference in Probabilistic Models.	ALT	2004	DBLP DOI BibTeX RDF
1	Manfred Opper, Ole Winther	Expectation Consistent Free Energies for Approximate Inference.	NIPS	2004	DBLP BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	An Approximate Analytical Approach to Resampling Averages.	Journal of Machine Learning Research	2003	DBLP BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	Learning curves and bootstrap estimates for inference with Gaussian processes: A statistical mechanics study.	Complexity	2003	DBLP DOI BibTeX RDF
1	Lehel Csató, Manfred Opper, Ole Winther	Tractable inference for probabilistic data models.	Complexity	2003	DBLP DOI BibTeX RDF
1	Manfred Opper, Ole Winther	Variational Linear Response.	NIPS	2003	DBLP BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	Approximate Analytical Bootstrap Averages for Support Vector Classifiers.	NIPS	2003	DBLP BibTeX RDF
1	Robert D. Stewart, Iris Fermin, Manfred Opper	Region growing with pulse-coupled neural networks: an alternative to seeded region growing.	IEEE Transactions on Neural Networks	2002	DBLP DOI BibTeX RDF
1	Lehel Csató, Manfred Opper	Sparse On-Line Gaussian Processes.	Neural Computation	2002	DBLP DOI BibTeX RDF
1	Yoav Freund, Manfred Opper	Drifting Games and Brownian Motion.	J. Comput. Syst. Sci.	2002	DBLP DOI BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages.	NIPS	2002	DBLP BibTeX RDF
1	Lehel Csató, Dan Cornford, Manfred Opper	Online Approximations for Wind-Field Models.	ICANN	2001	DBLP DOI BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	Learning Curves for Gaussian Processes Models: Fluctuations and Universality.	ICANN	2001	DBLP DOI BibTeX RDF
1	Lehel Csató, Manfred Opper, Ole Winther	TAP Gibbs Free Energy, Belief Propagation and Sparsity.	NIPS	2001	DBLP BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	A Variational Approach to Learning Curves.	NIPS	2001	DBLP BibTeX RDF
1	Manfred Opper, Robert Urbanczik	Asymptotic Universality for Learning Curves of Support Vector Machines.	NIPS	2001	DBLP BibTeX RDF
1	Manfred Opper, Ole Winther	Gaussian Processes for Classification: Mean-Field Algorithms.	Neural Computation	2000	DBLP DOI BibTeX RDF
1	Yoav Freund, Manfred Opper	Continuous Drifting Games.	COLT	2000	DBLP BibTeX RDF
1	Dörthe Malzahn, Manfred Opper	Learning Curves for Gaussian Processes Regression: A Framework for Good Approximations.	NIPS	2000	DBLP BibTeX RDF
1	Lehel Csató, Manfred Opper	Sparse Representation for Gaussian Process Models.	NIPS	2000	DBLP BibTeX RDF
1	Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther	Efficient Approaches to Gaussian Process Classification.	NIPS	1999	DBLP BibTeX RDF
1	Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper	Finite-Dimensional Approximation of Gaussian Processes.	NIPS	1998	DBLP BibTeX RDF
1	Manfred Opper, Ole Winther	Mean Field Methods for Classification with Gaussian Processes.	NIPS	1998	DBLP BibTeX RDF
1	Manfred Opper, Francesco Vivarelli	General Bounds on Bayes Errors for Regression with Gaussian Processes.	NIPS	1998	DBLP BibTeX RDF
1	David Haussler, Manfred Opper	Metric Entropy and Minimax Risk in Classification.	Structures in Logic and Computer Science	1997	DBLP DOI BibTeX RDF
1	Manfred Opper, Ole Winther	A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks.	NIPS	1996	DBLP BibTeX RDF
1	Siegfried Bös, Manfred Opper	Dynamics of Training.	NIPS	1996	DBLP BibTeX RDF
1	David Haussler, Manfred Opper	General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations.	COLT	1995	DBLP DOI BibTeX RDF
1	H. Sebastian Seung, Manfred Opper, Haim Sompolinsky	Query by Committee.	COLT	1992	DBLP DOI BibTeX RDF
1	Manfred Opper, David Haussler	Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise.	COLT	1991	DBLP BibTeX RDF
1	David Haussler, Michael J. Kearns, Manfred Opper, Robert E. Schapire	Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods.	NIPS	1991	DBLP BibTeX RDF

Publications of "Manfred Opper" ( http://dblp.L3S.de/Authors/Manfred_Opper )