Theory and Use of the Em Algorithm

Gupta, Maya R.; Chen, Yihua

ISBN 10: 1601984308 / ISBN 13: 9781601984302

Published by Now Pub, 2011

Unread book in perfect condition. Seller Inventory # 12435545

Synopsis:

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, 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.

Product Description: Theory and Use of the EM Algorithm Introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. 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.

Bibliographic Details

Title: Theory and Use of the Em Algorithm
Publisher: Now Pub
Publication Date: 2011
Binding: Soft cover
Condition: As New