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 71 - Hinton, Geoffrey E. Browse Website open in new window
    
  07-January-2012 
Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.


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 72 - Heskes, Tom Browse Website open in new window
    
  07-January-2012 
Learning and generalization in neural networks.


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 73 - Herbrich, Ralph Browse Website open in new window
    
  07-January-2012 
Statistical learning theory, support vector machines and kernel methods.


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 74 - 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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 75 - Ghahramani, Zoubin Browse Website open in new window
    
  07-January-2012 
Sensorimotor control, unsupervised learning, probabilistic machine learning.


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 76 - Garcia, Christophe Browse Website open in new window
    
  07-January-2012 
Computer vision, image analysis, neural networks.


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 77 - 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.


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


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 79 - Frey, Brendan J. Browse Website open in new window
    
  07-January-2012 
Iterative decoding, unsupervised learning, graphical models.


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 80 - Freeman, William T. Browse Website open in new window
    
  07-January-2012 
Bayesian perception, computer vision, image processing.


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