[UAI] graduate study opportunities

From: Geoffrey Hinton (hinton@cs.toronto.edu)
Date: Thu Jan 10 2002 - 15:49:07 PST

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    The machine learning group at the University of Toronto has
    recently expanded and we are looking for about 10 new graduate
    students. The core machine learning faculty include:

    Craig Boutilier (Computer Science)
    Brendan Frey (Electrical and Computer Engineering)
    Geoffrey Hinton (Computer Science)
    Radford Neal (Statistics, Computer Science)
    Sam Roweis (Computer Science)
    Rich Zemel (Computer Science)

    In addition, there are many other faculty interested in applying
    machine learning techniques in specific domains such as vision,
    speech, medicine, and finance. More details about the individual
    faculty can be obtained at

    http://learning.cs.toronto.edu/people.html

    Possible research areas include: Neural Computation and
    Perceptual Learning, Graphical Models, Monte Carlo Methods,
    Bayesian Inference, Spectral Methods, Reinforcement Learning
    and Markov Decision Problems, Coding and Information Theory,
    Bioinformatics, and Game Theory.

    Applications for graduate study in the Department of Computer
    Science are due by Feb 1. For details of how to apply see
    http://www.cs.toronto.edu/DCS/Grad/Apply/

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