Lawrence, Neil
Probabilistic models, variational methods.
Lawrence, Steve
Information dissemination and retrieval, machine learning and neural networks.
LeCun, Yann
Handwritten recognition, convolutional networks, image compression. Noted for LeNet.
Leen, Todd
Online learning, machine learning, learning dynamics.
Leow, Wee Kheng
Computer vision, computational olfaction.
Lerner, Uri N.
Hybrid and Bayesian networks.
Li, Zhaoping
Non-linear neural dynamics, visual segmentation, sensory processing.
Maass, Wolfgang
Theory of computation, computation in spiking neurons.
MacKay, David
Bayesian theory and inference, error-correcting codes, machine learning.
McCallum, Andrew
Machine learning, text and information retrieval and extraction, reinforcement learning.
Meila, Marina
Graphical models, learning in high dimensions, tree networks.
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.
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