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

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Graphical Models for Machine Learning and Digital Communication 2024 pdf epub mobi 电子书著者简介

Brendan J. Frey Professor

Electrical and Computer Engineering

University of Toronto

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发表于2024-06-03

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

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出版者:MIT Press

作者:Brednan Jf Frey

出品人:

页数:220

译者:

出版时间:1998-8-25

价格:GBP 8.95

装帧:Hardcover

isbn号码:9780262062022

丛书系列:

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

Graphical Models for Machine Learning and Digital Communication 2024 pdf epub mobi 电子书图书描述

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 2024 pdf epub mobi 电子书

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