Chris Williams
homepage:http://www.dai.ed.ac.uk/homes/ckiw/
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Description

Professor Chris Williams is Professor of Machine Learning, School of Informatics, University of Edinburgh.  His research interests cover a wide range of theoretical and practical issues in machine learning, statistical pattern recognition, probabilistic graphical models and computer vision. This includes theoretical foundations, the development of new models and algorithms, and applications.  


Lectures:

invited talk
flag Multi-Task Learning with Gaussian Processes with Applications to Robot Inverse Dynamics
as author at  Learning from Multiple Sources,
5052 views
  lecture
flag Multi-task Learning with Gaussian Processes
as author at  Bayesian Research Kitchen Workshop (BARK), Grasmere 2008,
6244 views
lecture
flag Visual object recognition
as author at  Pascal Symposium meeting, Bled 2008,
4213 views
  lecture
flag Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
as author at  EPSRC Winter School in Mathematics for Data Modelling, Sheffield 2008,
5476 views
tutorial
flag A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Gaussian Markov Processes
as author at  NIPS Workshop on Dynamical Systems, Stochastic Processes and Bayesian Inference, Whistler 2006,
71537 views
  lecture
flag Eigenfunctions & Approximation Methods
as author at  Gaussian Processes in Practice Workshop, Bletchley Park 2006,
5380 views
lecture
flag Visual Categorization with Bags of Keypoints
as author at  Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004,
7575 views
  lecture
flag Learning Sprites
as author at  Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004,
4608 views