Artificial Intelligence: Neural Networks: People: Page 6

Vision, Bayesian methods, neural computation.

Gaussian processes, image interpretation, graphical models, pattern recognition.

Research papers and information on biologically inspired neural networks, brain modelling, AI and related topics. A cross-disciplinary site mixing information from physics, neuroscience, cognitive science and other fields.

Evolvable neural network models, neural networks for programmable hardware, large neural networks.

Learning of probabilistic models, applications to computational biology.

Bayesian learning, relevance vector machine, probabilistic principal component analysis.

Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification.

Reinforcement learning, machine learning, supervised learning.

Probabilistic models, variational methods.

Many aspects of probabilistic modelling, identity uncertainty, expressive probability models.

Statistical learning, machine learning approaches to computational biology, pattern recognition and control.

Machine learning and explorative data analysis: support vector machines, kernel principal component analysis and kernel Fisher discriminant analysis.

Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.

Brain Computer Interface.

Automated Analysis of ECG.

Neural computing, data mining, evolutionary computing, ensemble networks.