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Storkey, Amos - Belief networks, Gaussian processes and Hopfield Networks.
 
Sutton, Richard S. - Reinforcement learning.
 
Teh, Yee Whye - Learning and inference in complex probabilistic models.
 
Wainwright, Martin - Statistical signal and image processing, natural image modelling, graphical models.
 
Wallis, Guy - Object recognition, cognitive neuroscience, interaction between vision and motor movements.
 
Weiss, Yair - Vision, Bayesian methods, neural computation.
 
Wiegerinck, Wim - Inference in graphical models, mean field and variational approaches.
 
Williams, Christopher K. I. - Gaussian processes, image interpretation, graphical models, pattern recognition.
 
Wiskott, Laurenz - Face recognition, Invariances in learning and vision.
 
Wu, Yingnian - Stochastic generative models for complex visual phenomena.
 
Wunsch II, Donald C. - Reinforcement Learning, Adaptive Critic Designs, Control, Optimization, Graph Theory, Bioinformatics, Intrusion Detection.
 
Yedidia, Jonathan S. - Statistical methods for inference and learning.
 
Zemel, Richard - Unsupervised learning, machine learning, computational models of neural processing.
 
Zhu, Song Chun - Vision and graphics, statistical modelling and computing, neural computation.
 
de Freitas, Nando - Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
 
de Sa, Virginia - Supervised and unsupervised learning, cross-modal learning.
 
 

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