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Carl Edward Rasmussen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Carl Edward Rasmussen
    Gaussian Processes in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:63-71 [Conf]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. Carl Edward Rasmussen, Joaquin Quiñonero Candela
    Healing the relevance vector machine through augmentation. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:689-696 [Conf]
  8. 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]
  9. Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen
    The Infinite Hidden Markov Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:577-584 [Conf]
  10. 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]
  11. 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]
  12. 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]
  13. Malte Kuss, Carl Edward Rasmussen
    Assessing Approximations for Gaussian Process Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  14. Carl Edward Rasmussen
    A Practical Monte Carlo Implementation of Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:598-604 [Conf]
  15. Carl Edward Rasmussen
    The Infinite Gaussian Mixture Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:554-560 [Conf]
  16. Carl Edward Rasmussen, Zoubin Ghahramani
    Occam's Razor. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:294-300 [Conf]
  17. Carl Edward Rasmussen, Zoubin Ghahramani
    Infinite Mixtures of Gaussian Process Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:881-888 [Conf]
  18. Carl Edward Rasmussen, Zoubin Ghahramani
    Bayesian Monte Carlo. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:489-496 [Conf]
  19. Carl Edward Rasmussen, Malte Kuss
    Gaussian Processes in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  20. Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani
    Warped Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  21. 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]
  22. Christopher K. I. Williams, Carl Edward Rasmussen
    Gaussian Processes for Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:514-520 [Conf]
  23. 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]
  24. 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]
  25. 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]

  26. Gaussian Mixture Modeling with Gaussian Process Latent Variable Models. [Citation Graph (, )][DBLP]


  27. Model-Based Reinforcement Learning with Continuous States and Actions. [Citation Graph (, )][DBLP]


  28. Gaussian Process Change Point Models. [Citation Graph (, )][DBLP]


  29. Probabilistic Inference for Fast Learning in Control. [Citation Graph (, )][DBLP]


  30. Presynaptic and postsynaptic competition in models for the development of neuromuscular connections. [Citation Graph (, )][DBLP]


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