2006年出版以来,amazon.comの人工知能部門で世界的トップセラーとなり,たちまち4刷となった英語版原著Pattern Recognition and Machine Learning,待望の日本語版.5名の監訳者のもと,選りすぐられた日本人研究者達14名によって丁寧に訳出されている.ベイズ理論に基づいた統一的な視点から,機械学習とパターン認識の様々な理論や手法を解説。
2006年出版以来,amazon.comの人工知能部門で世界的トップセラーとなり,たちまち4刷となった英語版原著Pattern Recognition and Machine Learning,待望の日本語版.5名の監訳者のもと,選りすぐられた日本人研究者達14名によって丁寧に訳出されている.ベイズ理論に基づいた統一的な視点から,機械学習とパターン認識の様々な理論や手法を解説。
Christopher M. Bishop is Deputy Director of Microsoft Research Cambridge, and holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society of Edinburgh. His previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.
Clearly, there are many possible probabilistic structures that can be constructed according to the needs of particular applications. Graphical models provide a general technique for motivating, describing, and analysing such structures, and variational methods provide a powerful framework for performing inference in those models for which exact solution is intractable. (查看原文)
A further issue in finding maximum likelihood solutions arises from the fact that for any given maximum likelihood solution, a K-component mixture will have a total of K! equivalent solutions corresponding to the K! ways of assigning K sets of parameters to K components. (查看原文)
两年多以前有个Machine Learning课以PRML为参考书，当时就觉得这书相当的好。可惜一直以来没认真读完。最近稍闲终于重新读了一遍，比较有收获。 这书给人的最大的印象可能是everything has a Bayesian version或者说everything can be Bayesianized，比如PRML至少给出了以下Bay...
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我是学工程的，读过很多统计，模式识别，数据挖掘的书。比如Andrew Gelman 的 Beyesian data Analysis； Trevor Hastie 的 The Elements of Statistical Learning等等。。。。 我发现一个问题，但凡是统计系人出的书，我读起来都特别困难，比如以上提到的两本，基本读到第四第...
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Springer2007版
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景浩
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还没人写过短评呢