Publikationen von CE Rasmussen

Görür, D.; Jäkel, F.; Rasmussen, C.: A Choice Model with Infinitely Many Latent Features. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, S. 361 - 368 (Hg. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, 25. Juni 2006 - 29. Juni 2006. ACM Press, New York, NY, USA (2006)

Kuss, M.; Rasmussen, C.: Assessing Approximations for Gaussian Process Classification. In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, S. 699 - 706 (Hg. Weiss, Y.; Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Whistler, BC, Canada, 05. Dezember 2005 - 08. Dezember 2005. MIT Press, Cambridge, MA, USA (2006)

Quinonero Candela, J.; Rasmussen, C.; Sinz, F.; Bousquet, O.; Schölkopf, B.: Evaluating Predictive Uncertainty Challenge. In: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, S. 1 - 27 (Hg. Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d’Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, 11. April 2005 - 13. April 2005. Springer, Berlin, Germany (2006)

Rasmussen, C.; Quiñonero-Candela, J.: Healing the Relevance Vector Machine through Augmentation. In: ICML '05: 22nd international conference on Machine learning, S. 689 - 696 (Hg. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM Press, New York, NY, USA (2005)

Kocijan, J.; Murray-Smith, R.; Rasmussen, C.; Girard, A.: Gasussian process model based predictive control. In: 2004 American Control Conference, S. 2214 - 2219. American Control Conference (ACC 2004), Boston, MA, USA, 30. Juni 2004 - 02. Juli 2004. IEEE Service Center, Piscataway, NJ, USA (2005)

Quinonero Candela, J.; Rasmussen, C.: Analysis of Some Methods for Reduced Rank Gaussian Process Regression. In: Switching and Learning in Feedback Systems: European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, S. 98 - 127 (Hg. Murray-Smith, R.; Shorten, R.). European Summer School on Multi-Agent Control 2003, Maynooth, Ireland, 08. September 2005 - 10. September 2005. Springer, Berlin, Germany (2005)

Franz, M.; Kwon, Y.; Rasmussen, C.; Schölkopf, B.: Semi-supervised kernel regression using whitened function classes. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, S. 18 - 26 (Hg. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)

Görür, D.; Rasmussen, C.; Tolias, A.; Sinz, F.; Logothetis, N.: Modelling Spikes with Mixtures of Factor Analysers. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, S. 391 - 398 (Hg. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)

Rasmussen, C.: Gaussian Processes in Machine Learning. In: Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, S. 63 - 71 (Hg. Bousquet, O.; von Luxburg, U.; Rätsch, G.). ML Summer Schools 2003, Tübingen, Germany, 04. August 2003 - 16. August 2003. Springer, Berlin, Germany (2004)

Sinz, F.; Candela, J.; BakIr, G.; Rasmussen, C.; Franz, M.: Learning Depth From Stereo. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, S. 245 - 252 (Hg. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)

Eichhorn, J.; Tolias, A.; Zien, A.; Kuss, M.; Rasmussen, C.; Weston, J.; Logothetis, N.; Schölkopf, B.: Prediction on Spike Data Using Kernel Algorithms. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 1367 - 1374 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Rasmussen, C.; Kuss, M.: Gaussian Processes in Reinforcement Learning. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 751 - 759 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Snelson, E.; Rasmussen, C.; Ghahramani, Z.: Warped Gaussian Processes. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 337 - 344 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Dubey, A.; Hwang, S.; Rangel, C.; Rasmussen, C.; Ghahramani, Z.; Wild, D.: Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models. In: Pacific Symposium on Biocomputing (PSB 2004), S. 399 - 410. Pacific Symposium on Biocomputing (PSB 2004), Waimea, HI, USA, 06. Januar 2004 - 10. Januar 2004. World Scientific Publishing, Singapore (2004)

Kocijan, J.; Murray-Smith, R.; Rasmussen, C.; Likar, B.: Predictive control with Gaussian process models. In: IEEE Region 8 EUROCON 2003: Computer as a Tool, S. 352 - 356 (Hg. Zajc, B.; Tkalcic, M.). IEEE Region 8 EUROCON 2003: Computer as a Tool, Ljubljana, Slovenia, 22. September 2003 - 24. September 2003. IEEE, Piscataway, NJ, USA (2003)

Girard, A.; Rasmussen, C.; Quiñonero-Candela, J.; Murray-Smith, R.: Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting. In: Advances in Neural Information Processing Systems 15, S. 529 - 536 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

Murray-Smith, R.; Sbarbaro, D.; Rasmussen, C.; Girard, A.: Adaptive, Cautious, Predictive control with Gaussian Process Priors. 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, 27. August 2003 - 29. August 2003. IFAC Proceedings Volumes 36 (16), S. 1155 - 1160 (2003)

Quiñonero-Candela, J.; Girard, A.; Larsen, J.; Rasmussen, C.: Propagation of Uncertainty in Bayesian Kernel Models: Application to Multiple-Step Ahead Forecasting. In: 13th IEEE International Workshop on Neural Networks for Signal Processing (NNSP 2003). 13th IEEE International Workshop on Neural Networks for Signal Processing (NNSP 2003), Toulouse, France, 17. September 2003 - 19. September 2003. (2003)

Rasmussen, C.; Ghahramani, Z.: Bayesian Monte Carlo. In: Advances in Neural Information Processing Systems 15, S. 489 - 496 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

Solak, E.; Murray-Smith , R.; Leithead , W.; Leith, D.; Rasmussen, C.: Derivative observations in Gaussian Process models of dynamic systems. In: Advances in Neural Information Processing Systems 15, S. 1033 - 1040 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)