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51 -
Zhou, Zhi-Hua
07-January-2012
Neural computing, data mining, evolutionary computing, ensemble networks.
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52 -
Tipping, Mike
07-January-2012
Varied machine learning and data analysis topics, including Bayesian inference, relevance vector machine, probabilistic principal component analysis and visualisation methods.
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53 -
Ballard, Dana H.
07-January-2012
Visual perception with neural networks.
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54 -
Beal, Matthew J.
07-January-2012
Bayesian inference, variational methods, graphical models, nonparametric Bayes.
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55 -
Neal, Radford
07-January-2012
Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.
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56 -
Sutton, Richard S.
07-January-2012
Reinforcement learning.
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57 -
Frohlich, Jochen
07-January-2012
Overview of neural networks, and explanation of Java classes that implement backpropagation, and Kohonen feature maps.
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58 -
Yedidia, Jonathan S.
07-January-2012
Statistical methods for inference and learning.
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59 -
Storkey, Amos
07-January-2012
Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks.
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60 -
de Freitas, Nando
07-January-2012
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
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