Beal, Matthew J.
Bayesian inference, variational methods, graphical models, nonparametric Bayes.
Becker, Sue
Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.
Boutilier, Craig
Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.
Calvin, William H.
Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think.
Dayan , Peter
Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
de Freitas, Nando
Bayesian inference, Markov chain Monte Carlo simulation, machine learning.
de Garis, Hugo
Evolvable neural network models, neural networks for programmable hardware, large neural networks.
De vito, Saverio
Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures
Dietterich, Thomas G.
Reinforcement learning, machine learning, supervised learning.
Friedman, Nir
Learning of probabilistic models, applications to computational biology.
Ghahramani, Zoubin
Sensorimotor control, unsupervised learning, probabilistic machine learning.
Hansen, Lars Kai
Neural network ensembles, adaptive systems and applications in neuroinformatics.
Herbrich, Ralph
Statistical learning theory, support vector machines and kernel methods.
Showing 20–20 of 64 results