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Expectation-Maximization (EM) Algorithm & Radial Basis Functions
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written 6.7 years ago by
nandinijella15
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1. Expectation-Maximization (EM) Algorithm
The Expectation-Maximization (EM) algorithm is a way to find maximum-likelihood estimates for model parameters when our data is incomplete, has missing data points, or has unobserved (hidden) latent variables. It is an iterative way to approximate the maximum likelihood function. While maximum likelihood estimation can find …
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