Graphical Models for Machine Learning and Digital Communication pdf epub mobi txt 电子书 下载 2025
Brendan J. Frey Professor
Electrical and Computer Engineering
University of Toronto
- 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
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.
具体描述
读后感
评分
评分
评分
评分
用户评价
呃，觉得就是了解个框架吧。讲的都不详细。尤其关于digital的举例非常不适应，看起来比较愣。
评分呃，觉得就是了解个框架吧。讲的都不详细。尤其关于digital的举例非常不适应，看起来比较愣。
评分呃，觉得就是了解个框架吧。讲的都不详细。尤其关于digital的举例非常不适应，看起来比较愣。
评分呃，觉得就是了解个框架吧。讲的都不详细。尤其关于digital的举例非常不适应，看起来比较愣。
评分呃，觉得就是了解个框架吧。讲的都不详细。尤其关于digital的举例非常不适应，看起来比较愣。
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有