Edition:
Release: 2011-03-19
Publisher: Now Publishers Inc
Binding: Paperback
ISBN/ASIN: 1601984308
Theory and Use of the EM Algorithm (Foundations and Trends in Signal Processing)
Theory and Use of the EM Algorithm introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. Free download Theory and Use of the EM Algorithm books collection in PDF, EPUB, FB2, MOBI, and TXT formats. 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, and for disentangling superimposed signals. It discusses problems that arise in practice with EM, and variants of the algorithm that help deal with these challenges. Theory and Use of the EM Algorithm is designed to be useful to both the EM novice and the experienced EM user looking to better understand the method and its use. Best deals ebooks download Theory and Use of the EM Algorithm on amazon. Theory and Use of the EM Algorithm (Foundations and Trends in Signal Processing) with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.
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