Books > Computing & IT > Applications of computing > Signal processing
|
Buy Now
Theory and Use of the EM Algorithm (Paperback)
Loot Price: R1,528
Discovery Miles 15 280
|
|
Theory and Use of the EM Algorithm (Paperback)
Series: Foundations and Trends (R) in Signal Processing
Expected to ship within 10 - 15 working days
|
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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.