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

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Graphical Models for Machine Learning and Digital Communication pdf epub mobi 著者簡介

Brendan J. Frey Professor

Electrical and Computer Engineering

University of Toronto

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

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發表於2024-11-26

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

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

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

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Graphical Models for Machine Learning and Digital Communication pdf epub mobi 讀後感

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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