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## Search the dblp DataBase
Carl Edward Rasmussen:
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## Publications of Author- Carl Edward Rasmussen
**Gaussian Processes in Machine Learning.**[Citation Graph (0, 0)][DBLP] Advanced Lectures on Machine Learning, 2003, pp:63-71 [Conf] - Matthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf
**Semi-supervised Kernel Regression Using Whitened Function Classes.**[Citation Graph (0, 0)][DBLP] DAGM-Symposium, 2004, pp:18-26 [Conf] - Dilan Görür, Carl Edward Rasmussen, Andreas S. Tolias, Fabian H. Sinz, Nikos Logothetis
**Modelling Spikes with Mixtures of Factor Analysers.**[Citation Graph (0, 0)][DBLP] DAGM-Symposium, 2004, pp:391-398 [Conf] - Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz
**Learning Depth from Stereo.**[Citation Graph (0, 0)][DBLP] DAGM-Symposium, 2004, pp:245-252 [Conf] - Joaquin Quiñonero Candela, Carl Edward Rasmussen
**Analysis of Some Methods for Reduced Rank Gaussian Process Regression.**[Citation Graph (0, 0)][DBLP] European Summer School on Multi-AgentControl, 2003, pp:98-127 [Conf] - Dilan Görür, Frank Jäkel, Carl Edward Rasmussen
**A choice model with infinitely many latent features.**[Citation Graph (0, 0)][DBLP] ICML, 2006, pp:361-368 [Conf] - Carl Edward Rasmussen, Joaquin Quiñonero Candela
**Healing the relevance vector machine through augmentation.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:689-696 [Conf] - Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf
**Evaluating Predictive Uncertainty Challenge.**[Citation Graph (0, 0)][DBLP] MLCW, 2005, pp:1-27 [Conf] - Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen
**The Infinite Hidden Markov Model.**[Citation Graph (0, 0)][DBLP] NIPS, 2001, pp:577-584 [Conf] - Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf
**Prediction on Spike Data Using Kernel Algorithms.**[Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf] - 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.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:529-536 [Conf] - Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen
**Bayesian Modelling of fMRI lime Series.**[Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:754-760 [Conf] - Malte Kuss, Carl Edward Rasmussen
**Assessing Approximations for Gaussian Process Classification.**[Citation Graph (0, 0)][DBLP] NIPS, 2005, pp:- [Conf] - Carl Edward Rasmussen
**A Practical Monte Carlo Implementation of Bayesian Learning.**[Citation Graph (0, 0)][DBLP] NIPS, 1995, pp:598-604 [Conf] - Carl Edward Rasmussen
**The Infinite Gaussian Mixture Model.**[Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:554-560 [Conf] - Carl Edward Rasmussen, Zoubin Ghahramani
**Occam's Razor.**[Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:294-300 [Conf] - Carl Edward Rasmussen, Zoubin Ghahramani
**Infinite Mixtures of Gaussian Process Experts.**[Citation Graph (0, 0)][DBLP] NIPS, 2001, pp:881-888 [Conf] - Carl Edward Rasmussen, Zoubin Ghahramani
**Bayesian Monte Carlo.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:489-496 [Conf] - Carl Edward Rasmussen, Malte Kuss
**Gaussian Processes in Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf] - Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani
**Warped Gaussian Processes.**[Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf] - E. Solak, Roderick Murray-Smith, William E. Leithead, Douglas J. Leith, Carl Edward Rasmussen
**Derivative Observations in Gaussian Process Models of Dynamic Systems.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:1033-1040 [Conf] - Christopher K. I. Williams, Carl Edward Rasmussen
**Gaussian Processes for Regression.**[Citation Graph (0, 0)][DBLP] NIPS, 1995, pp:514-520 [Conf] - 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.**[Citation Graph (0, 0)][DBLP] Pacific Symposium on Biocomputing, 2004, pp:399-410 [Conf] - Malte Kuss, Carl Edward Rasmussen
**Assessing Approximate Inference for Binary Gaussian Process Classification.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:1679-1704 [Journal] - Joaquin Quiñonero Candela, Carl Edward Rasmussen
**A Unifying View of Sparse Approximate Gaussian Process Regression.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:1939-1959 [Journal] **Gaussian Mixture Modeling with Gaussian Process Latent Variable Models.**[Citation Graph (, )][DBLP]**Model-Based Reinforcement Learning with Continuous States and Actions.**[Citation Graph (, )][DBLP]**Gaussian Process Change Point Models.**[Citation Graph (, )][DBLP]**Probabilistic Inference for Fast Learning in Control.**[Citation Graph (, )][DBLP]**Presynaptic and postsynaptic competition in models for the development of neuromuscular connections.**[Citation Graph (, )][DBLP]
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