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31 -
Jaakkola, Tommi S.
Graphical models, variational methods, kernel methods.
http://www.ai.mit.edu/people/tommi
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32 -
Ghahramani, Zoubin
Sensorimotor control, unsupervised learning, probabilistic machine learning.
http://www.gatsby.ucl.ac.uk/~zoubin
[more pages from this URL]
33 -
Boutilier, Craig
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
http://www.cs.toronto.edu/~cebly/
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34 -
Rasmussen, Carl Edward
Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models.
http://learning.eng.cam.ac.uk/carl/
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35 -
Maass, Wolfgang
Theory of computation, computation in spiking neurons.
http://www.igi.tugraz.at/maass/
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36 -
Meila, Marina
Graphical models, learning in high dimensions, tree networks.
http://www.stat.washington.edu/mmp/
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37 -
Friedman, Nir
Learning of probabilistic models, applications to computational biology.
http://www.cs.huji.ac.il/~nir/
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38 -
Oja, Erkki
Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis.
http://www.cis.hut.fi/oja/
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39 -
Bach, Francis
Machine learning, kernel methods, kernel independent component analysis and graphical models
http://www.di.ens.fr/~fbach/
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40 -
Hansen, Lars Kai
Neural network ensembles, adaptive systems and applications in neuroinformatics.
http://eivind.imm.dtu.dk/staff/lkhansen/lkhansen.html
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