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What is expectation-maximization in machine learning?

EM algorithm is a numerical method. It is not specific to any machine learning model. Common applications include hidden markov model and mixed Gaussians. The algorithm is not a classifier. Logistic ...
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1 vote
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Why is the E step in expectation maximisation algorithm called so?

In expectation step, firstly we calculate the posterior of latent variable $Z$ and then the $Q(θ | θ^{(t)})$ is defined as the expected value of the log likelihood of $θ$, with respect to the current ...
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