Directory: Top/Computers/Artificial_Intelligence/Neural

Top / Computers / Artificial_Intelligence / Neural_Networks / People /

Roweis, Sam T.
Speech processing, auditory scene analysis, machine learning.
http://www.cs.toronto.edu/~roweis/
Toronto.edu ~ Site Info Whois Trace Route RBL Check

Coolen, Ton
Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks.
http://www.mth.kcl.ac.uk/~tcoolen/
Kcl.ac.uk ~ Site Info Whois Trace Route RBL Check

Winther, Ole
Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.
http://eivind.imm.dtu.dk/staff/winther/
Dtu.dk ~ Site Info Whois Trace Route RBL Check

Herbrich, Ralph
Statistical learning theory, support vector machines and kernel methods.
http://www.research.microsoft.com/users/rherb/
Microsoft.com ~ Site Info Whois Trace Route RBL Check

Roberts, Stephen
Machine learning and medical data analysis, independent component analysis and information theory.
http://www.robots.ox.ac.uk/~sjrob/
Ox.ac.uk ~ Site Info Whois Trace Route RBL Check

Bishop, Chris
Graphical models, variational methods, pattern recognition.
http://research.microsoft.com/~cmbishop/
Microsoft.com ~ Site Info Whois Trace Route RBL Check

Cottrell, Garrison W.
An artrificial intelligence researcher who is an expert on neural networks.
http://charlotte.ucsd.edu/~gary/
Ucsd.edu ~ Site Info Whois Trace Route RBL Check

Frey, Brendan J.
Iterative decoding, unsupervised learning, graphical models.
http://www.psi.utoronto.ca/~frey/
Utoronto.ca ~ Site Info Whois Trace Route RBL Check

Hinton, Geoffrey E.
Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.
http://www.cs.toronto.edu/~hinton/
Toronto.edu ~ Site Info Whois Trace Route RBL Check

MacKay, David
Bayesian theory and inference, error-correcting codes, machine learning.
http://www.inference.phy.cam.ac.uk/mackay/
Cam.ac.uk ~ Site Info Whois Trace Route RBL Check