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Lecture
Bayes Estimator, Simulated Annealing and EM
Description
This lecture covers the concepts of Bayes estimator, Simulated Annealing, and Expectation Maximization. It explains how to compute averages from the MCMC, obtain the MMSE estimator, and perform EM for parameter estimation. The lecture also discusses the annealing schedule and the optimization procedure of Simulated Annealing.
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