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 51 - Zhou, Zhi-Hua Browse Website open in new window
   
  07-January-2012 
Neural computing, data mining, evolutionary computing, ensemble networks.



 
 52 - Tipping, Mike Browse Website open in new window
   
  07-January-2012 
Varied machine learning and data analysis topics, including Bayesian inference, relevance vector machine, probabilistic principal component analysis and visualisation methods.



 
 53 - Ballard, Dana H. Browse Website open in new window
   
  07-January-2012 
Visual perception with neural networks.



 
 54 - Beal, Matthew J. Browse Website open in new window
   
  07-January-2012 
Bayesian inference, variational methods, graphical models, nonparametric Bayes.



 
 55 - Neal, Radford Browse Website open in new window
   
  07-January-2012 
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.



 
   
  07-January-2012 
Reinforcement learning.



 
 57 - Frohlich, Jochen Browse Website open in new window
   
  07-January-2012 
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.



 
   
  07-January-2012 
Statistical methods for inference and learning.



 
 59 - Storkey, Amos Browse Website open in new window
   
  07-January-2012 
Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.



 
   
  07-January-2012 
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.


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