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- W4301259139 abstract "A variety of problems in machine learning and digital communication deal with complex but structured natural or artificial systems. In this book, Brendan Frey uses graphical models as an overarching framework to describe and solve problems of pattern classification, unsupervised learning, data compression, and channel coding. Using probabilistic structures such as Bayesian belief networks and Markov random fields, he is able to describe the relationships between random variables in these systems and to apply graph-based inference techniques to develop new algorithms. Among the algorithms described are the wake-sleep algorithm for unsupervised learning, the iterative turbodecoding algorithm (currently the best error-correcting decoding algorithm), the bits-back coding method, the Markov chain Monte Carlo technique, and variational inference." @default.
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- W4301259139 date "1998-01-01" @default.
- W4301259139 modified "2023-10-17" @default.
- W4301259139 title "Graphical Models for Machine Learning and Digital Communication" @default.
- W4301259139 doi "https://doi.org/10.7551/mitpress/3348.001.0001" @default.
- W4301259139 hasPublicationYear "1998" @default.
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