Search results for "Carl Edward Rasmussen"

Hits ?▲	Authors	Title	Venue	Year	Link
1	John Cunningham, Zoubin Ghahramani, Carl Edward Rasmussen	Gaussian Processes for time-marked time-series data.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen	Robust Filtering and Smoothing with Gaussian Processes	CoRR	2012	DBLP BibTeX RDF
1	Ryan Turner, Carl Edward Rasmussen	Model based learning of sigma points in unscented Kalman filtering.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	David K. Duvenaud, Hannes Nickisch, Carl Edward Rasmussen	Additive Gaussian Processes	CoRR	2011	DBLP BibTeX RDF
1	Joseph Hall, Carl Edward Rasmussen, Jan M. Maciejowski	Reinforcement learning with reference tracking control in continuous state spaces.	CDC-ECE	2011	DBLP DOI BibTeX RDF
1	Marc Peter Deisenroth, Carl Edward Rasmussen, Dieter Fox	Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning.	Robotics: Science and Systems	2011	DBLP BibTeX RDF
1	Marc Peter Deisenroth, Carl Edward Rasmussen	PILCO: A Model-Based and Data-Efficient Approach to Policy Search.	ICML	2011	DBLP BibTeX RDF
1	David K. Duvenaud, Hannes Nickisch, Carl Edward Rasmussen	Additive Gaussian Processes.	NIPS	2011	DBLP BibTeX RDF
1	Andrew McHutchon, Carl Edward Rasmussen	Gaussian Process Training with Input Noise.	NIPS	2011	DBLP BibTeX RDF
1	Miguel Lázaro-Gredilla, Joaquin Quiñonero Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal	Sparse Spectrum Gaussian Process Regression.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Hannes Nickisch	Gaussian Processes for Machine Learning (GPML) Toolbox.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Ryan Turner, Marc Peter Deisenroth, Carl Edward Rasmussen	State-Space Inference and Learning with Gaussian Processes.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Dilan Görür, Carl Edward Rasmussen	Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution.	J. Comput. Sci. Technol.	2010	DBLP DOI BibTeX RDF
1	Hannes Nickisch, Carl Edward Rasmussen	Gaussian Mixture Modeling with Gaussian Process Latent Variable Models.	DAGM-Symposium	2010	DBLP DOI BibTeX RDF
1	Yunus Saatci, Ryan Turner, Carl Edward Rasmussen	Gaussian Process Change Point Models.	ICML	2010	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Bernard J. de la Cruz, Zoubin Ghahramani, David L. Wild	Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures.	IEEE/ACM Trans. Comput. Biology Bioinform.	2009	DBLP DOI BibTeX RDF
1	Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters	Gaussian process dynamic programming.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Carl Edward Rasmussen, Marc Peter Deisenroth	Probabilistic Inference for Fast Learning in Control.	EWRL	2008	DBLP DOI BibTeX RDF
1	Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters	Model-Based Reinforcement Learning with Continuous States and Actions.	ESANN	2008	DBLP BibTeX RDF
1	Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson	The Need for Open Source Software in Machine Learning.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Dilan Görür, Frank Jäkel, Carl Edward Rasmussen	A choice model with infinitely many latent features.	ICML	2006	DBLP DOI BibTeX RDF
1	Malte Kuss, Carl Edward Rasmussen	Assessing Approximate Inference for Binary Gaussian Process Classification.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Joaquin Quiñonero Candela, Carl Edward Rasmussen	A Unifying View of Sparse Approximate Gaussian Process Regression.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Joaquin Quiñonero Candela	Healing the relevance vector machine through augmentation.	ICML	2005	DBLP DOI BibTeX RDF
1	Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf	Evaluating Predictive Uncertainty Challenge.	MLCW	2005	DBLP DOI BibTeX RDF
1	Malte Kuss, Carl Edward Rasmussen	Assessing Approximations for Gaussian Process Classification.	NIPS	2005	DBLP BibTeX RDF
1	Ananya Dubey, Seungwoo Hwang, Claudia Rangel, Carl Edward Rasmussen, Zoubin Ghahramani, David L. Wild	Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models.	Pacific Symposium on Biocomputing	2004	DBLP BibTeX RDF
1	Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz	Learning Depth from Stereo.	DAGM-Symposium	2004	DBLP DOI BibTeX RDF
1	Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos K. Logothetis	Modelling Spikes with Mixtures of Factor Analysers.	DAGM-Symposium	2004	DBLP DOI BibTeX RDF
1	Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese (eds.)	Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings	DAGM-Symposium	2004	DBLP BibTeX RDF
1	Matthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf	Semi-supervised Kernel Regression Using Whitened Function Classes.	DAGM-Symposium	2004	DBLP DOI BibTeX RDF
1	Joaquin Quiñonero Candela, Carl Edward Rasmussen	Analysis of Some Methods for Reduced Rank Gaussian Process Regression.	European Summer School on Multi-AgentControl	2003	DBLP DOI BibTeX RDF
1	Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani	Warped Gaussian Processes.	NIPS	2003	DBLP BibTeX RDF
1	Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos K. Logothetis, Bernhard Schölkopf	Prediction on Spike Data Using Kernel Algorithms.	NIPS	2003	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Malte Kuss	Gaussian Processes in Reinforcement Learning.	NIPS	2003	DBLP BibTeX RDF
1	Carl Edward Rasmussen	Gaussian Processes in Machine Learning.	Advanced Lectures on Machine Learning	2003	DBLP DOI BibTeX RDF
1	Carl Edward Rasmussen, Zoubin Ghahramani	Bayesian Monte Carlo.	NIPS	2002	DBLP BibTeX RDF
1	E. Solak, Roderick Murray-Smith, William E. Leithead, Douglas J. Leith, Carl Edward Rasmussen	Derivative Observations in Gaussian Process Models of Dynamic Systems.	NIPS	2002	DBLP BibTeX RDF
1	Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith	Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting.	NIPS	2002	DBLP BibTeX RDF
1	Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen	The Infinite Hidden Markov Model.	NIPS	2001	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Zoubin Ghahramani	Infinite Mixtures of Gaussian Process Experts.	NIPS	2001	DBLP BibTeX RDF
1	Carl Edward Rasmussen, Zoubin Ghahramani	Occam's Razor.	NIPS	2000	DBLP BibTeX RDF
1	Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen	Bayesian Modelling of fMRI lime Series.	NIPS	1999	DBLP BibTeX RDF
1	Carl Edward Rasmussen	The Infinite Gaussian Mixture Model.	NIPS	1999	DBLP BibTeX RDF
1	Carl Edward Rasmussen	A Practical Monte Carlo Implementation of Bayesian Learning.	NIPS	1995	DBLP BibTeX RDF
1	Christopher K. I. Williams, Carl Edward Rasmussen	Gaussian Processes for Regression.	NIPS	1995	DBLP BibTeX RDF
1	Lars Kai Hansen, Carl Edward Rasmussen	Pruning from Adaptive Regularization.	Neural Computation	1994	DBLP DOI BibTeX RDF
1	Carl Edward Rasmussen, David J. Willshaw	Presynaptic and postsynaptic competition in models for the development of neuromuscular connections.	Biological Cybernetics	1993	DBLP DOI BibTeX RDF

Publications of "Carl Edward Rasmussen" ( http://dblp.L3S.de/Authors/Carl_Edward_Rasmussen )