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whatUseek Directory Site Listings:
Lafferty, John D. - Statistical machine learning, text and natural language processing, information retrieval, information theory.
Lawrence, Neil - Graphical 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.
Minka, Thomas P. - Machine learning, computer vision, Bayesian methods.
Morris, Quaid - Machine learning for medical diagnosis and biological data analysis.
Murphy, Kevin P. - Graphical models, machine learning, reinforcement learning.
Murray, Alan - Neural networks and VLSI hardware.
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.
Olshausen, Bruno - Visual coding, statistics of images, independent components analysis.
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