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  07-January-2012 
Graphical models, variational methods, kernel methods.



 
   
  07-January-2012 
Sensorimotor control, unsupervised learning, probabilistic machine learning.



 
 33 - Boutilier, Craig Browse Website open in new window
   
  07-January-2012 
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.



 
   
  07-January-2012 
Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.



 
 35 - Maass, Wolfgang Browse Website open in new window
   
  07-January-2012 
Theory of computation, computation in spiking neurons.



 
 36 - Meila, Marina Browse Website open in new window
   
  07-January-2012 
Graphical models, learning in high dimensions, tree networks.



 
 37 - Friedman, Nir Browse Website open in new window
   
  07-January-2012 
Learning of probabilistic models, applications to computational biology.



 
 38 - Oja, Erkki Browse Website open in new window
   
  07-January-2012 
Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.



 
 39 - Bach, Francis Browse Website open in new window
   
  07-January-2012 
Machine learning, kernel methods, kernel independent component analysis and graphical models



 
 40 - Hansen, Lars Kai Browse Website open in new window
   
  07-January-2012 
Neural network ensembles, adaptive systems and applications in neuroinformatics.


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