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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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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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In probabilitytheory and its applications, a factor graph is a particular type ofgraphical model with applications in Bayesian inference, where factorgraphs enable efficient computation of marginal distributions, throughthe sum-product algorithm. One of the important success stories offactor graphs and the sum-product algorithm is the decoding ofcapacity-approaching error-correcting codes, such as LDPC and turbocodes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9786133737242
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