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Top / Computers / Artificial_Intelligence / Neural_Networks / People /

Cheung, Vincent
Machine learning and probabilistic graphical models for computer vision and computational molecular biology.
http://www.psi.toronto.edu/~vincent/
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McCallum, Andrew
Machine learning, text and information retrieval and extraction, reinforcement learning.
http://www.cs.umass.edu/~mccallum/
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Xing, Eric
Statistical learning, machine learning approaches to computational biology, pattern recognition and control.
http://www.cs.cmu.edu/~epxing/
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Attias, Hagai
Graphical models, variational Bayes, independent factor analysis.
http://research.goldenmetallic.com/
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Lawrence, Steve
Information dissemination and retrieval, machine learning and neural networks.
http://labs.google.com/people/lawrence/
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Muresan, Raul C.
Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.
http://www.raulmuresan.home.ro/
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Amari, Shun-ichi
Neural network learning, information geometry.
http://www.brain.riken.jp/labs/mns/amari/home-E.html
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De Wilde, Philippe
Brain inspired models of uncertainty, linguistic and fuzzy uncertainty, uncertainty in dynamic multi-user environments.
http://www.macs.hw.ac.uk/~pdw/
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Dahlem, Markus A.
Neural network models of visual cortex to model neurological symptoms of migraine.
http://www.migraine-aura.org/EN/Markus_Dahlem.html
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Beal, Matthew J.
Bayesian inference, variational methods, graphical models, nonparametric Bayes.
http://www.cse.buffalo.edu/faculty/mbeal
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