Theory and Use of the Em Algorithm

Gupta, Maya R.|Chen, Yihua

ISBN 10: 1601984308 / ISBN 13: 9781601984302

Editore: Now Publishers Inc, 2011

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Inhaltsverzeichnis1: The Expectation-Maximization Method 2: Analysis of EM 3: Learning Mixtures 4: More EM Examples 5: EM Variants 6: Conclusions and Some Historical Notes. Acknowledgements. References.Klappentext. Codice articolo 448142470

Riassunto:

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: Book by Gupta Maya R Chen Yihua

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Titolo: Theory and Use of the Em Algorithm
Casa editrice: Now Publishers Inc
Data di pubblicazione: 2011
Legatura: Brossura
Condizione: New