Artificial Intelligence: Neural Networks: People

Becker, Sue

http://www.science.mcmaster.ca/Psychology/sb.html

Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.

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Jordan, Michael I.

http://www.cs.berkeley.edu/~jordan/

Graphical models, variational methods, machine learning, reasoning under uncertainty.

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Sejnowski, Terry

http://www.salk.edu/faculty/sejnowski.html

Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations.

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Neal, Radford

http://www.cs.toronto.edu/~radford

Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.

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Adelson, Edward T.

http://www-bcs.mit.edu/people/adelson/

Visual perception, machine vision, image processing.

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Dayan , Peter

http://www.gatsby.ucl.ac.uk/~dayan/

Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.

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Ballard, Dana H.

http://www.cs.rochester.edu/users/faculty/dana

Visual perception with neural networks.

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Freeman, William T.

http://www.merl.com/people/freeman

Bayesian perception, computer vision, image processing.

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Jaakkola, Tommi S.

http://www.ai.mit.edu/people/tommi

Graphical models, variational methods, kernel methods.

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Oja, Erkki

http://www.cis.hut.fi/oja/

Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.

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Leow, Wee Kheng

http://www.comp.nus.edu.sg/~leowwk

Computer vision, computational olfaction.

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Li, Zhaoping

http://www.gatsby.ucl.ac.uk/~zhaoping

Non-linear neural dynamics, visual segmentation, sensory processing.

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Murphy, Kevin P.

http://www.cs.berkeley.edu/~murphyk

Graphical models, machine learning, reinforcement learning.

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Revow, Michael

http://www.cs.toronto.edu/~revow/

Hand-written character recognition.

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Sahani, Maneesh

http://www.gatsby.ucl.ac.uk/~maneesh/

Statistical analysis of neural data, experimental design in neuroscience.

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Seung, Sebastian

http://hebb.mit.edu/people/seung/

Short-term memory, learning and memory in the brain, computational learning theory.

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Calvin, William H.

http://faculty.washington.edu/wcalvin/

Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.

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Honavar, Vasant

http://www.cs.iastate.edu/~honavar/

Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning.

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Beveridge, Ross

http://www.cs.colostate.edu/~ross/

Computer vision, model-based object recognition, face recognition.

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Saad, David

http://www.ncrg.aston.ac.uk/People/saadd

Neural computing, error-correcting codes and cryptography using statistical and statistical mechanics techniques.

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McCallum, Andrew

http://www.cs.cmu.edu/~mccallum/

Machine learning, text and information retrieval and extraction, reinforcement learning.

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Zemel, Richard

http://www.cs.utoronto.ca/~zemel/

Unsupervised learning, machine learning, computational models of neural processing.

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Boutilier, Craig

http://www.cs.toronto.edu/~cebly/

Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.

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Meila, Marina

http://www.stat.washington.edu/mmp/

Graphical models, learning in high dimensions, tree networks.

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Caruana, Rich

http://www.cs.cmu.edu/~caruana/

Multitask learning.

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