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91 - Jensen, Finn Verner   Graphical models, belief propagation. http://www.cs.auc.dk/~fvj   [more pages from this URL]     92 - Bengio, Samy   Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification. http://www.idiap.ch/~bengio/index_en.html   [more pages from this URL]     93 - Lawrence, Neil   Probabilistic models, variational methods. http://www.dcs.shef.ac.uk/~neil   [more pages from this URL]     94 - Attias, Hagai   Graphical models, variational Bayes, independent factor analysis. http://research.goldenmetallic.com/   [more pages from this URL]     95 - Tipping, Mike   Bayesian learning, relevance vector machine, probabilistic principal component analysis. http://research.microsoft.com/users/mtipping/pages/mtipping.htm   [more pages from this URL]     96 - Ng, Andrew   Reinforcement learning, machine learning. http://www.cs.berkeley.edu/~ang/   [more pages from this URL]     97 - Shuurmans, Dale   Computational learning, complex probability modelling. http://www.lpaig.uwaterloo.ca:80/~dale/   [more pages from this URL]     98 - Andonie, Razvan   Data structures for computational intelligence. http://www.cwu.edu/~andonie/   [more pages from this URL]     99 - Leow, Wee Kheng   Computer vision, computational olfaction. http://www.comp.nus.edu.sg/~leowwk   [more pages from this URL]     100 - Murphy, Kevin P.   Graphical models, machine learning, reinforcement learning. http://www.cs.berkeley.edu/~murphyk   [more pages from this URL]

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