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Statistical models / Networks / Probability theory / Bayesian network / Expectation–maximization algorithm / Hidden Markov model / Bayesian inference / Markov random field / Belief propagation / Statistics / Graphical models / Bayesian statistics


Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%).
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Document Date: 2012-08-31 08:26:57


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Cambridge University Press / /

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Prentice Hall / /

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course web page / belief networks / /

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Cambridge University / Probabilistic Modelling and Reasoning School of Informatics / University of Edinburgh / /

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Springer / Chris Williams / Christopher M. Bishop / /

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D. J. / Bishop / /

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Machine Learning / /

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artificial intelligence / EM algorithm / /

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http /

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