People
Links
McCallum, Andrew
http://www.cs.cmu.edu/~mccallum/
Machine learning, text and information retrieval and extraction, reinforcement learning.
Meila, Marina
http://www.stat.washington.edu/mmp/
Graphical models, learning in high dimensions, tree networks.
Mika, Sebastian
http://ida.first.gmd.de/homepages/mika/
Machine learning and explorative data analysis: support vector machines, kernel principal component analysis and kernel Fisher discriminant analysis.
Morris, Quaid
http://www.gatsby.ucl.ac.uk/~quaid
Machine learning for medical diagnosis and biological data analysis.
Murphy, Kevin P.
http://www.cs.berkeley.edu/~murphyk
Graphical models, machine learning, reinforcement learning.
Murray, Alan
Neural networks and VLSI hardware.
Murray-Smith, Roderick
http://www.dcs.gla.ac.uk/~rod/
Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.
Neal, Radford
http://www.cs.toronto.edu/~radford
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
Oja, Erkki
Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.



