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Home: Artificial Intelligence: Neural Networks: People
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- Bach, Francis
Machine learning, kernel methods, kernel independent component analysis and graphical models
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- Becker, Sue
Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
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- Bengio, Samy
Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification.
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- Beveridge, Ross
Computer vision, model-based object recognition, face recognition.
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- Bishop, Chris
Graphical models, variational methods, pattern recognition.
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- Boutilier, Craig
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
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- Brown, Andrew
Machine learning of dynamic data, graphical models and Bayesian networks, neural networks.
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- Calvin, William H.
Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
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- Coolen, Ton
Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks.
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- Dayan , Peter
Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
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- de Freitas, Nando
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
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- de Garis, Hugo
Evolvable neural network models, neural networks for programmable hardware, large neural networks.
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- Friedman, Nir
Learning of probabilistic models, applications to computational biology.
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- Ghahramani, Zoubin
Sensorimotor control, unsupervised learning, probabilistic machine learning.
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- Herbrich, Ralph
Statistical learning theory, support vector machines and kernel methods.
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Pages: 1 2 3 4 [>>]
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