EDID Designer Version: 4.6.7.0,最新版本，可以查看，编辑E,配置EDID，非常方便快捷。

optima.hash-pattern - Optima 的哈希表模式 optima.hash-pattern 是的扩展，它提供了一些模式来匹配常见的 lisp 哈希表。 有一种构造器模式和一种派生模式。 哈希属性 hash-property模式类似于property模式，但匹配哈希表而不是 plist。 句法： (hash-property KEY PATTERN) 例子： (let ((tab (make-hashtable))) (setf (gethash :a tab) 1) (match tab ((hash-property :a x) x))) => 1 哈希表 hashtable模式类似于plist模式，但再次匹配哈希表而不是 plist 句法： (hashtable {KEY PATTERN}*) 扩张： (hashtable {k

pattern recognition and machine learning的翻译版本，不到500页，不如原版的749页那么多。

Bug pattern 描述容易导致bug的编码模式和解决方法

尽管Bishop的行文很优美，有时候简直可以拿出来当speech背诵，但是对于理论的理解还是母语比较稳妥和踏实。

设计模式 使用Java学习设计模式

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.

本书是一本不可多得的字符串匹配方面的专业书籍。书中对串匹配问题进行了系统化的分类，从实际效果出发，着重详细介绍了串匹配领域内效果最好的若干种算法。并且给出了具有统一接口的算法伪码，使读者能清晰理解算法原理，易于实现算法编程，从而提高专业水平。此外，书中通过严谨的理论分析和大量实验数据，说明了每种算法在实际应用中的适用范围，由此提供了良好的应用指导，解决了串匹配算法的最佳适用性问题。

Pattern Recognition and Machine Learning，英文原版，非扫描版， 高清晰度，Machine Learning 大牛Bishop著

在有些时候，从别人处得到dwg图形，里面有非常漂亮的非标准填充图案方案，要想借用其图案是很困难的！ 里面的非标准的填充图案，我们cad标准填充图案文件acad.pat或acadiso.pat文件有若没有该图案定义，这时想要对图案进行编辑和使用，也非常麻烦和不方便！一个好的办法是将图案定义提取出来，添加到acad.pat或acadiso.pat文件中！这一切烦恼的问题都不存在了！