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31 - Honavar, Vasant   Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning. http://www.cs.iastate.edu/~honavar/   [more pages from this URL]     32 - Storkey, Amos   Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks. http://www.anc.ed.ac.uk/~amos/   [more pages from this URL]     33 - Lafferty, John D.   Statistical machine learning, text and natural language processing, information retrieval, information theory. http://www.cs.cmu.edu/~lafferty/   [more pages from this URL]     34 - Meila, Marina   Graphical models, learning in high dimensions, tree networks. http://www.stat.washington.edu/mmp/   [more pages from this URL]     35 - Ghahramani, Zoubin   Sensorimotor control, unsupervised learning, probabilistic machine learning. http://www.gatsby.ucl.ac.uk/~zoubin   [more pages from this URL]     36 - Williams, Christopher K. I.   Gaussian processes, image interpretation, graphical models, pattern recognition. http://www.dai.ed.ac.uk/homes/ckiw/   [more pages from this URL]     37 - de Garis, Hugo   Evolvable neural network models, neural networks for programmable hardware, large neural networks. http://www.cs.usu.edu/~degaris/   [more pages from this URL]     38 - Anthony, Martin   Computational learning theory, discrete mathematics. http://www.maths.lse.ac.uk/Personal/martin/   [more pages from this URL]     39 - Andrieu, Christophe   Particle filtering and Monte Carlo Markov Chain methods. http://www.stats.bris.ac.uk/~maxca/   [more pages from this URL]     40 - Bach, Francis   Machine learning, kernel methods, kernel independent component analysis and graphical models http://www.cs.berkeley.edu/~fbach/   [more pages from this URL]

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