...
click to view more

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

by [Gupta, Maya R, Chen, Yihua]

$63.04

List Price: $65.00
Save: $1.96 (3%)
add to favourite
  • In Stock - Guaranteed to ship in 24 hours with Free Online tracking.
  • FREE DELIVERY by Monday, April 28, 2025 2:53:33 AM UTC
  • 24/24 Online
  • Yes High Speed
  • Yes Protection
Tell-A-Friend
Last update:

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. 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.

Last updated on

Product Details

  • Now Publishers Brand
  • Jun 30, 2011 Pub Date:
  • 9781601984302 ISBN-13:
  • 1601984308 ISBN-10:
  • 88.0 pages Paperback
  • English Language
  • 9.21 in * 0.18 in * 6.14 in Dimensions:
  • 0 lb Weight: