[PDF.33ic] Theory and Use of the Em Algorithm (Foundations and Trends(r) in Signal Processing)

Theory and Use of the Em Algorithm (Foundations and Trends(r) in Signal Processing)

[PDF.qb92] Theory and Use of the Em Algorithm (Foundations and Trends(r) in Signal Processing)

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 | #3685103 in Books |  Now Publishers Inc |  2011-03-19 | Original language:English | PDF # 1 |  9.21 x.18 x6.14l,.30 | File type: PDF | 88 pages

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||1 of 1 people found the following review helpful.| An excellent intro to EM|By JDA|Let me start by noting that I know one of the authors and in fact reviewed an early copy of this manuscript. That said, I wish this book had been around when I was a grad student. The writing is clear, the math is very clear, and the detailed derivations of EM for HMMs coupled with plain language explanations of the reasons for various steps are

Theory and Use of the EM Algorithm introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. It describes in detail two of the most popular applications of EM: estimating Gaussian mixture models (GMMs), and estimating hidden Markov models (HMMs). It also covers the use of EM for learning an optimal mixture of fixed models, for estimating the parameters of a compound Dirichlet distribution, a...

You can specify the type of files you want, for your gadget.Theory and Use of the Em Algorithm (Foundations and Trends(r) in Signal Processing)   |  Maya R. Gupta, Yihua Chen. I was recommended this book by a dear friend of mine.

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