Mika, Sebastian
Machine learning and explorative data analysis: support vector machines, kernel principal component analysis and kernel Fisher discriminant analysis.
Minka, Thomas P.
Machine learning, computer vision, Bayesian methods.
Morris, Quaid
Machine learning for medical diagnosis and biological data analysis.
Muresan, Raul C.
Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures.
Murphy, Kevin P.
Graphical models, machine learning, reinforcement learning.
Murray, Alan
Neural networks and VLSI hardware.
Murray-Smith, Roderick
Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.
Neal, Radford
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
Ng, Andrew
Reinforcement learning, machine learning.
Oja, Erkki
Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.
Olier, Ivan
Artificial intelligence, generative topographic map, missing data.
Olshausen, Bruno
Visual coding, statistics of images, independent components analysis.
Opper, Manfred
Statistical physics, information theory and applied probability and applications to machien learning and complex systems.
Paccanaro, Alberto
Learning distributed representation of concepts from relational data.
Pathegama, Mahinda
Intelligent information systems, physiological sciences systems.
Pearlmutter, Barak
Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging.
Phillips, Jonathon
Face recognition.
Rao, Rajesh P. N.
Models of human and computer vision.
Rasmussen, Carl Edward
Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
Revow, Michael
Hand-written character recognition.
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