Christopher K.I. Williams Computer sciences – Artificial Intelligence (expert systems - machine learning - robotics)
Christopher Williams is interested in a wide range of theoretical and practical issues in machine learning, statistical pattern recognition, probabilistic graphical models and computer vision. The main foci of his current research are prediction with Gaussian processes and image interpretation.
Winton Capital Research Prize
P. W. Goldberg et al, "Regression with input-dependent noise: A Gaussian process treatment," Advances in neural information processing systems, vol. 10, pp. 493-499, 1997.
C. E. Rasmussen and C. K. I. Williams, Gaussian Processes for Machine Learning, MIT Press, 2006
Senior Fellow Learning in Machines & Brains
The University of EdinburghSchool of Informatics
BA (Physics and Theoretical Physics Class I) Cambridge University
No Assets Found
Sorry, we did not find any assets matching these filters.