Improving the Performance and Understanding of the Expectation Maximization Algorithm: Evolutionary and Visualization Methods
The Expectation Maximization (EM) algorithm is a method for learning the parameters of probabilistic graphical models when there is hidden or missing data. The goal of an EM algorithm is to estimate a set of parameters that maximizes the likelihood of the data. In spite of its success in practice, t...
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| Format: | Others |
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Research Showcase @ CMU
2016
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| Online Access: | http://repository.cmu.edu/dissertations/860 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1899&context=dissertations |