Calvin, William H.
Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
Caruana, Rich
Multitask learning.
Cheung, Vincent
Machine learning and probabilistic graphical models for computer vision and computational molecular biology.
Chu, Selina
Artificial intelligence, machine learning, data mining.
Coolen, Ton
Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks.
Cottrell, Garrison W.
An artrificial intelligence researcher who is an expert on neural networks.
Dahlem, Markus A.
Neural network models of visual cortex to model neurological symptoms of migraine.
Dayan , Peter
Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
de Freitas, Nando
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
de Garis, Hugo
Evolvable neural network models, neural networks for programmable hardware, large neural networks.
de Sa, Virginia
Supervised and unsupervised learning, cross-modal learning.
De vito, Saverio
Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
De Wilde, Philippe
Brain inspired models of uncertainty, linguistic and fuzzy uncertainty, uncertainty in dynamic multi-user environments.
Dietterich, Thomas G.
Reinforcement learning, machine learning, supervised learning.
Dr Hooman Shadnia
Dedicated to artificial neural networks and their applications in medical research and computational chemistry. Offers a quick tutorial on theory on ANNs written in Persian.
Freeman, William T.
Bayesian perception, computer vision, image processing.
Frey, Brendan J.
Iterative decoding, unsupervised learning, graphical models.
Friedman, Nir
Learning of probabilistic models, applications to computational biology.
Frohlich, Jochen
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
Fujita, Hajime
Partially observable markov decision processes (POMDP), reinforcement learning, multi-agent systems.
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