Description: The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
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- [icaML] - This a Bayesian ICA algorithm for the li
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- [em-c++] - This paper introduces the use c++ Realiz
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