Graphical Models for Machine Learning and Digital Communication pdf epub mobi txt 电子书下载 2024

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Brednan Jf Frey

MIT Press

1998-8-25

220

GBP 8.95

Hardcover

9780262062022

图书标签: 机器学习概率模型图模型计算机科学概率論數學加拿大 PGM

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发表于2024-09-19

Graphical Models for Machine Learning and Digital Communication epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Graphical Models for Machine Learning and Digital Communication pdf epub mobi txt 电子书下载 2024

图书描述

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.

Graphical Models for Machine Learning and Digital Communication 下载 mobi epub pdf txt 电子书