Pattern recognition and machine learning

• 作者: Bishop, Christopher M.
• 其他作者: Bishop, Christopher M.
• 出版: London : Springer 2006.
• 稽核項: xx, 738 p. :ill. (chiefly col.) ;25 cm.
• 叢書名: Information science and statistics , Information science and statistics
• 標題: Machine learning. , Pattern perception.
• ISBN: 0387310738 , 9780387310732
• 附註: Introduction.- 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. 100年度教育部購置教學研究相關圖書儀器及設備計畫.
• 摘要: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. 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. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information. Coming soon: for students, worked solutions to a subset of exercises available on a public web site.
• 系統號: 005061330
• 資料類型: 圖書
• 讀者標籤: 需登入
• 引用網址: 複製連結
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