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Statistical theory / Machine learning / Markov models / Expectation–maximization algorithm / Maximum likelihood / Hidden Markov model / Mixture model / Kullback–Leibler divergence / Marginal likelihood / Statistics / Estimation theory / Bayesian statistics


Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit
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Document Date: 2006-05-16 12:30:10


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Cox / Monte Carlo / /

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United States / /

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pence / /

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Carnegie Mellon University / Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College / /

IndustryTerm

k-means algorithm / biological information processing / iterative algorithm / learning systems / inference algorithms / unsupervised clustering algorithm / neural networks / computing / tree algorithm / learning algorithms / all be implemented using neural networks / /

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University College London / Center for Automated Learning and Discovery / Carnegie Mellon University / /

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Position

author / model / i.e / interesting model for several reasons / /

ProgrammingLanguage

ML / /

Technology

Neuroscience / speech recognition / k-means algorithm / inference algorithms / resulting algorithm / artificial intelligence / 3 The EM algorithm / 8.4 Junction tree algorithm / unsupervised clustering algorithm / 2.2 Search algorithms / iterative algorithm / Machine learning / Kalman smoothing algorithm / EM algorithm / 3 The EM algorithm The EM algorithm / /

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http /

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