5 results
(BibTeX)

**Evaluating Predictive Uncertainty Challenge** In: *Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment*, *Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005)*, 1-27, Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW 2005)
(In Proceedings)

**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)*, 462, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW 2005)
(Proceedings)

**Analysis of Some Methods for Reduced Rank Gaussian Process Regression** In: *Switching and Learning in Feedback Systems*, 98-127, Springer, Berlin, Germany, European Summer School on Multi-Agent Control 2003
(In Proceedings)

**A Unifying View of Sparse Approximate Gaussian Process Regression** *Journal of Machine Learning Research*, 6, 1935-1959
(Article)

**Incremental Gaussian Processes** In: *Advances in Neural Information Processing Systems 15*, *Advances in Neural Information Processing Systems 15*, 1001-1008, MIT Press, Informatics and Mathematical Modelling, Technical University of Denmark, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002)
(In Proceedings)