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A uni - variate Gaussian distribution is used to model data that consists of non - negative integers. Suppose you observe m integers in your
A univariate Gaussian distribution is used to model data that consists of nonnegative integers. Suppose you observe m integers in your training set. Your model assumption is that each integer is sampled from one of two different Gaussian distributions. You would like to learn this model using the EM algorithm. List all the parameters of the model. Derive the Estep and Mstep for the model.
A univariate Gaussian distribution is used to model data that consists of nonnegative
integers. Suppose you observe m integers in your training set. Your model assumption is
that each integer is sampled from one of two different Gaussian distributions. You would
like to learn this model using the EM algorithm. List all the parameters of the model.
Derive the Estep and Mstep for the model.
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Put Your Data To Work 52 Tips And Techniques For Effectively Managing Your Database
Authors: Wes Trochlil
1st Edition
0880343079, 978-0880343077
