模式识别与机器学习 Pattern Recognition and Machine Learning

基本信息/Product Details

Format Paperback | 738 pages

Dimensions 178 x 254 x 43.18mm | 1,921g

Publication date 23 Aug 2016

Publisher Springer-Verlag New York Inc.

Language English

Edition Revised 1st ed. 2006

Illustrations note XX, 738 p.

ISBN10 1493938436

ISBN13 9781493938438

页面参数仅供参考，具体以实物为准

书籍简介/Book Description

这是一本提出贝叶斯观点的模式识别教科书。该书提出了近似推理算法，允许在精确答案不可行的情况下快速获得近似答案。当在有其他书籍将图形模型应用于机器学习时，本书已经使用图形模型来描述概率分布。如果读者之前没有模式识别或机器学习概念的知识，那熟悉多元微积分和基本线性代数是必需的；此外虽然不是必要的，但掌握一些使用概率的经验将是有帮助的，因为这本书包括一个单独的基本概率论介绍。

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

目录/Table of contents

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

作者简介/Author

克里斯·毕晓普是微软的杰出科学家，也是微软剑桥研究院的实验室主任。他也是爱丁堡大学的计算机科学教授和剑桥大学达尔文学院的研究员。2004年，他被选为皇家工程院院士，2007年，他被选为爱丁堡皇家学会院士。

克里斯在牛津大学获得物理学学士学位，并在爱丁堡大学获得理论物理学博士学位，其论文是关于量子场理论。随后，他加入了Culham实验室，作为欧洲受控核聚变计划的一部分，他从事磁约束等离子体的理论研究。

Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh.

Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.