Organizations

McCallum, Andrew McCallum, Andrew- Machine learning, text and information retrieval and extraction, reinforcement learning. Koller, Daphne Koller, Daphne- Probabilistic models for complex uncertain domains. Lerner, Uri N. Lerner, Uri N.- Hybrid and Bayesian networks. De vito, Saverio De vito, Saverio- Neural networks for sensor fusion, wireless sensor networks, software modeling, multimedia assets management architectures Heskes, Tom Heskes, Tom- Learning and generalization in neural networks. Allan, Moray Allan, Moray- Computer vision, probabilistic models for image sequences, invariant features. Pearlmutter, Barak Pearlmutter, Barak- Neural networks, machine learning, acoustic source separation and localisation, independent component analysis, brain imaging. Versace, Massimiliano Versace, Massimiliano- Neural networks applied to visual perception and computational modeling of mental disorders. Anthony, Martin Anthony, Martin- Computational learning theory, discrete mathematics. Andrieu, Christophe Andrieu, Christophe- Particle filtering and Monte Carlo Markov Chain methods. Bulsari, A. Bulsari, A.- Neural networks and nonlinear modelling for process engineering. Wainwright, Martin Wainwright, Martin- Statistical signal and image processing, natural image modelling, graphical models. Hughes, Nicholas Hughes, Nicholas- Automated Analysis of ECG. Murray-Smith, Roderick Murray-Smith, Roderick- Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces. Russell, Stuart Russell, Stuart- Many aspects of probabilistic modelling, identity uncertainty, expressive probability models. Dietterich, Thomas G. Dietterich, Thomas G.- Reinforcement learning, machine learning, supervised learning. Friedman, Nir Friedman, Nir- Learning of probabilistic models, applications to computational biology. Weiss, Yair Weiss, Yair- Vision, Bayesian methods, neural computation. MacKay, David MacKay, David- Bayesian theory and inference, error-correcting codes, machine learning. Hinton, Geoffrey E. Hinton, Geoffrey E.- Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation. Frey, Brendan J. Frey, Brendan J.- Iterative decoding, unsupervised learning, graphical models. Bishop, Chris Bishop, Chris- Graphical models, variational methods, pattern recognition. Winther, Ole Winther, Ole- Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction. Coolen, Ton Coolen, Ton- Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks. Kearns, Michael Kearns, Michael- Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems. LeCun, Yann LeCun, Yann- Handwritten recognition, convolutional networks, image compression. Noted for LeNet. de Freitas, Nando de Freitas, Nando- Bayesian inference, Markov chain Monte Carlo simulation, machine learning. Rovetta, Stefano Rovetta, Stefano- Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activ… Tishby, Naftali Tishby, Naftali- Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science. Rao, Rajesh P. N. Rao, Rajesh P. N.- Models of human and computer vision.