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61 - Joseph Wakeling's Neural Systems Research Page   Research papers and information on biologically inspired neural networks, brain modelling, AI and related topics. A cross-disciplinary site mixing information from physics, neuroscience, cognitive science and other fields. http://neuro.webdrake.net/   [more pages from this URL]     62 - Saund, Eric   Intermediate level structure in vision. http://www2.parc.com/spl/members/saund/   [more pages from this URL]     63 - Sahani, Maneesh   Statistical analysis of neural data, experimental design in neuroscience. http://www.gatsby.ucl.ac.uk/~maneesh/   [more pages from this URL]     64 - Lerner, Uri N.   Hybrid and Bayesian networks. http://ai.stanford.edu/~uri/   [more pages from this URL]     65 - Dietterich, Thomas G.   Reinforcement learning, machine learning, supervised learning. http://cs.oregonstate.edu/~tgd/   [more pages from this URL]     66 - Frey, Brendan J.   Iterative decoding, unsupervised learning, graphical models. http://www.psi.utoronto.ca/~frey/   [more pages from this URL]     67 - Neal, Radford   Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression. http://www.cs.toronto.edu/~radford   [more pages from this URL]     68 - Caruana, Rich   Multitask learning. http://www.cs.cmu.edu/~caruana/   [more pages from this URL]     69 - Herbrich, Ralph   Statistical learning theory, support vector machines and kernel methods. http://www.research.microsoft.com/users/rherb/   [more pages from this URL]     70 - Schein, Andrew I.   Machine learning approaches to data mining focussing on text mining applications. http://www.cis.upenn.edu/~ais   [more pages from this URL]

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