Graphical models, learning in high dimensions, tree networks.

Machine learning, text and information retrieval and extraction, reinforcement learning.

Machine learning, Learning from uncertain data.

Bayesian theory and inference, error-correcting codes, machine learning.

Theory of computation, computation in spiking neurons.

Non-linear neural dynamics, visual segmentation, sensory processing.

Hybrid and Bayesian networks.

Computer vision, computational olfaction.

Online learning, machine learning, learning dynamics.

Handwritten recognition, convolutional networks, image compression. Noted for LeNet.

Information dissemination and retrieval, machine learning and neural networks.

Probabilistic models, variational methods.

Statistical machine learning, text and natural language processing, information retrieval, information theory.

Probabilistic models for complex uncertain domains.

Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems.

Computational motor control, biologically realistic circuits, humanoid robots, spiking neurons.

Graphical models, variational methods, machine learning, reasoning under uncertainty.

Graphical models, belief propagation.

Graphical models, variational methods, kernel methods.

Automated Analysis of ECG.

Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning.

Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.

Learning and generalization in neural networks.