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Joaquin Quinonero Candela
Dr.
Position: Research Scientist
Room no.: 215

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2006
Proceedings
  • J. Quinonero Candela, I. Dagan, B. Magnini, F. Lauria (2006). Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), Springer, Heidelberg, Germany, 462, ISBN: 978-3-540-33427-9, First Pascal Machine Learning Challenges Workshop (MLCW 2005)
Conference Papers
  • J. Quinonero Candela, CE. Rasmussen, F. Sinz, O. Bousquet, B. Schölkopf (2006). Evaluating Predictive Uncertainty Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, (Ed) J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc, Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 1-27, ISBN: 978-3-540-33428-6 , First PASCAL Machine Learning Challenges Workshop (MLCW 2005)
2005
Conference Papers
  • J. Quinonero Candela, CE. Rasmussen (2005). Analysis of Some Methods for Reduced Rank Gaussian Process Regression In: Switching and Learning in Feedback Systems, (Ed) Murray Smith, R. , R. Shorten, Springer, Berlin, Germany, 98-127, ISBN: 978-3-540-24457-8 , European Summer School on Multi-Agent Control 2003
Articles
2003
Conference Papers
  • Quinonero Candela, J. and Winther, O. (2003). Incremental Gaussian Processes In: Advances in Neural Information Processing Systems 15, (Ed) Becker, S. , S. Thrun, K. Obermayer, Advances in Neural Information Processing Systems 15, MIT Press, Informatics and Mathematical Modelling, Technical University of Denmark, Cambridge, MA, USA, 1001-1008, ISBN: 0-262-02550-7, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002)