Factor Graph: Probability theory, Graphical model, Bayesian inference, Marginal distribution, Sum-product algorithm, Error-correcting code, LDPC, Turbo codes - Tapa blanda

 
9786133737242: Factor Graph: Probability theory, Graphical model, Bayesian inference, Marginal distribution, Sum-product algorithm, Error-correcting code, LDPC, Turbo codes
Tapa blanda
ISBN 10: 6133737247 ISBN 13: 9786133737242
Editorial: OmniScriptum, 2010

Sinopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and its applications, a factor graph is a particular type of graphical model with applications in Bayesian inference, where factor graphs enable efficient computation of marginal distributions, through the sum-product algorithm. One of the important success stories of factor graphs and the sum-product algorithm is the decoding of capacity-approaching error-correcting codes, such as LDPC and turbo codes.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and its applications, a factor graph is a particular type of graphical model with applications in Bayesian inference, where factor graphs enable efficient computation of marginal distributions, through the sum-product algorithm. One of the important success stories of factor graphs and the sum-product algorithm is the decoding of capacity-approaching error-correcting codes, such as LDPC and turbo codes.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
OmniScriptum
Año de publicación
2010
Idioma
Inglés
ISBN 10 
6133737247
ISBN 13 
9786133737242
Encuadernación
Tapa blanda
Número de páginas
72
Editor
Miller Frederic P., Vandome Agnes F., McBrewster John
Contacto del fabricante
no disponible
Persona responsable
no disponible