Graphical Models for Machine Learning and Digital Communication pdf epub mobi txt 電子書下載 2024

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Brednan Jf Frey

MIT Press

1998-8-25

220

GBP 8.95

Hardcover

9780262062022

圖書標籤: 機器學習概率模型圖模型計算機科學概率論數學加拿大 PGM

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发表于2024-12-26

Graphical Models for Machine Learning and Digital Communication epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Graphical Models for Machine Learning and Digital Communication pdf epub mobi txt 電子書下載 2024

圖書描述

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 下載 mobi epub pdf txt 電子書