Variational Bayesian Learning Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Variational Bayesian Learning Theory

简体网页||繁体网页
Shinichi Nakajima 作者
Cambridge University Press
译者
2019-8-22 出版日期
558 页数
USD 160.00 价格
Hardcover
丛书系列
9781107076150 图书编码

Variational Bayesian Learning Theory 在线电子书 图书标签: 机器学习  Machine_Learning  统计学  Bayesian   


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发表于2024-11-05


Variational Bayesian Learning Theory 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Variational Bayesian Learning Theory 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Variational Bayesian Learning Theory 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Variational Bayesian Learning Theory 在线电子书 著者简介

Shinichi Nakajima is a senior researcher at Technische Universität Berlin. His research interests include the theory and applications of machine learning, and he has published papers at numerous conferences and in journals such as the Journal of Machine Learning Research, the Machine Learning Journal, Neural Computation, and IEEE Transactions on Signal Processing. He currently serves as an area chair for NIPS and an action Editor for Digital Signal Processing.

Kazuho Watanabe is a lecturer at Toyohashi University of Technology. His research interests include statistical machine learning and information theory, and he has published papers at numerous conferences and in journals such as the Journal of Machine Learning Research, the Machine Learning Journal, IEEE Transactions on Information Theory, and IEEE Transactions on Neural Networks and Learning Systems.

Masashi Sugiyama is Director of the RIKEN Center for Advanced Intelligence Project and Professor of Complexity Science and Engineering at the University of Tokyo. His research interests include the theory, algorithms, and applications of machine learning. He has written several books on machine learning, including Density Ratio Estimation in Machine Learning (Cambridge, 2012). He served as program co-chair and general co-chair of the NIPS conference in 2015 and 2016, respectively, and received the Japan Academy Medal in 2017.


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Variational Bayesian Learning Theory 在线电子书 图书描述

Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning method, and suggests how to make use of it in practice. Detailed derivations allow readers to follow along without prior knowledge of the specific mathematical techniques.

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