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Zeitschriftenartikel (2)

1.
Zeitschriftenartikel
Lázaro-Gredilla, M.; Quiñonero-Candela, J.; Rasmussen, C.; Figueiras-Vidal, A.: Sparse Spectrum Gaussian Process Regression. Journal of Machine Learning Research 11, S. 1865 - 1881 (2010)
2.
Zeitschriftenartikel
Quinonero Candela, J.; Rasmussen, C.: A Unifying View of Sparse Approximate Gaussian Process Regression. The Journal of Machine Learning Research 6, S. 1935 - 1959 (2005)

Buchkapitel (1)

3.
Buchkapitel
Quiñonero-Candela, J.; Rasmussen, C.; Williams, C.: Approximation Methods for Gaussian Process Regression. In: Large-Scale Kernel Machines, S. 203 - 223 (Hg. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Konferenzband (1)

4.
Konferenzband
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 (Lecture Notes in Computer Science, 3944). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, 11. April 2005 - 13. April 2005. Springer, Berlin, Germany (2006), 462 S.

Konferenzbeitrag (9)

5.
Konferenzbeitrag
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)
6.
Konferenzbeitrag
Rasmussen, C.; 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)
7.
Konferenzbeitrag
Zien, A.; Candela, J.: Large Margin Non-Linear Embedding. In: ICML '05: 22nd international conference on Machine learning, S. 1065 - 1072 (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)
8.
Konferenzbeitrag
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)
9.
Konferenzbeitrag
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)
10.
Konferenzbeitrag
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)
11.
Konferenzbeitrag
Quinonero Candela, J.; Winther, O.: Incremental Gaussian Processes. In: Advances in Neural Information Processing Systems 15, S. 1001 - 1008 (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)
12.
Konferenzbeitrag
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)
13.
Konferenzbeitrag
Quiñonero-Candela, J.; Girard, A.; Larsen, J.; Rasmussen, C.: Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Bd. 2, S. 701 - 704. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), Hong Kong, China, 06. April 2003 - 10. April 2003. IEEE, Piscataway, NJ, USA (2003)

Hochschulschrift - Doktorarbeit (1)

14.
Hochschulschrift - Doktorarbeit
Quiñonero-Candela, J.: Learning with Uncertainty: Gaussian Processes and Relevance Vector Machines. Dissertation, 170 S., Technical University of Denmark, Lyngby, Denmark (2004)

Bericht (1)

15.
Bericht
Quiñonero-Candela, J.; Girard, A.; Rasmussen, C.: Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting. Technical University of Denmark, DTU: Informatics and Mathematical Modelling, Kopenhagen, Denmark (2003), 14 S.
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