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  • 2017

    Over-Fitting in Model Selection with Gaussian Process Regression

    Mohammed, R. O. & Cawley, G. C., 15 Jul 2017, Machine Learning and Data Mining in Pattern Recognition: 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings. Perner, P. (ed.). 1 ed. Springer, Vol. 10358. p. 192-205 14 p. (Lecture Notes in Computer Science)(Lecture Notes in Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    10 Citations (Scopus)
    40 Downloads (Pure)
  • 2015

    Design of the 2015 ChaLearn AutoML challenge

    Guyon, I., Cawley, G., Bennett, K., Jair Escalente, H., Escalera, S., Ho, T. K., Macia, N., Ray, B., Saeed, M., Statnikov, A. & Viegas, E., 12 Jul 2015, Proceedings of International Joint Conference on Neural Networks (IJCNN). IEEE Press, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    38 Citations (Scopus)
  • 2007

    Predictive uncertainty in environmental modelling

    Cawley, GC., Janacek, GJ., Haylock, MR. & Dorling, SR., May 2007, Neural Networks: Computational Intelligence in Earth and Environmental Sciences. Elsevier, Vol. 20. p. 537-549 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    49 Citations (Scopus)