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11 -
Roweis, Sam T.
Speech processing, auditory scene analysis, machine learning.
http://www.cs.toronto.edu/~roweis/
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12 -
Friedman, Nir
Learning of probabilistic models, applications to computational biology.
http://www.cs.huji.ac.il/~nir/
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13 -
Calvin, William H.
Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
http://faculty.washington.edu/wcalvin/
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14 -
Adelson, Edward T.
Visual perception, machine vision, image processing.
http://www-bcs.mit.edu/people/adelson/
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15 -
LeCun, Yann
Handwritten recognition, convolutional networks, image compression. Noted for LeNet.
http://yann.lecun.com/
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16 -
Koller, Daphne
Probabilistic models for complex uncertain domains.
http://ai.stanford.edu/~koller/
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17 -
Saul, Lawrence K.
Machine learning, pattern recognition, neural networks, voice processing, auditory computation.
http://www.cis.upenn.edu/~lsaul/
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18 -
Yedidia, Jonathan S.
Statistical methods for inference and learning.
http://www.merl.com/people/yedidia/
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19 -
Brody, Carlos D.
Somatosensory working memory, computation with action potentials, design of complex stimuli for sensory neurophysiology.
http://www.cshl.edu/public/SCIENCE/brody.html
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20 -
Boutilier, Craig
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
http://www.cs.toronto.edu/~cebly/
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