一个用vc7封装的xml文件访问对象。带例子

学的好一点的时候写的一个记事本程序，供大家参考一下-Learn better when written in a notebook procedures, refer to U.S. for

在Visual C++环境下，实现删除选择的目录及目录下的文件。-in Visual C environment, the realization of the deletion of the directory and select all the files.

完全使用标准 C++ 编写的文件分割合并程序。采用面向过程的编程风格，也就是俗称的 C 风格。希望各路高手踊跃发言，指出其不足之处，提出整改意见、方案等。 -Completely using standard C++ Partition the documents prepared by the merging process. Process-oriented programming style, which is commonly known as the C style. Hope that each expert will speak up and point out the inadequacies of the views put forward reform, programs such as.

输入一行字符，分别统计出其中英文字母、空格、数字和其它字符的个数。-Enter the characters in his entourage, the statistics were one of the letters, spaces, numbers and the number of other characters.

一个监视系统的目录和文件变化的源代码，用Delphi编写。-a surveillance system directories and files of the source code with Delphi.

这个是利用文本文件来保存从网站收集的网址-this is the use of text files from the site to preserve the collection site

取得使用 cpp 的打字教程。它有 3 种模式即评价模式。培训模式和词模式。 你打字的速度和准确性，没有错的字显示类型和其他的分析。

一个vc＋matlab混合编程的例程-a mixed vc+ Matlab programming routines

模拟进程利用双向邮箱通信 随机生成一个邮箱，两个进程利用该邮箱相互通信，信息的大小与邮箱的大小相同。哪一个进程为发送进程，哪一个进程为接收进程是随机的，由随机函数随机选择。但是若一进程成为发送进程，那么另一个进程只能是接收进程。如果没有申请到资源，就不能建立邮箱，发送进程不能发送消息。如果邮箱中没有空闲单元，发送进程不能够发送消息；如果邮箱中没有消息，接收进程不能够接收消息。-modeling process using two-way communications mail generates a random mailbox, the two processes use of the mail to communicate with each other, information and the size of the same size mail. A process for which this process, a process for which the receiving process is random, random function randomly selected. However, if this process is to be a process, then another process can only be receiving process. If there is no application of resources, the building of mail, send process can send messages. If the mailbox no spare units, sending process can not send messages; If no news mail, the receiving process can not receive information.

应用背景朴素贝叶斯分类器是最成功的已知的学习分类文本文件的算法。我们将提供adatasetcontaining 20000新闻组消息从20个新闻组绘制。数据集包含20个新闻组的1000个文件。关键技术1.请请从 http://www.cs.cmu.edu/afs/cs/project/theo-11/www/naive-bayes.html 下载数据 2.分类是做 usingNaive 贝叶斯分类技术。 3.程序语言编写的 python。 4.Theaccuracyresult 是 98.7%是很好。 5.数据集很大，所以训练分类器的数据作为训练数据半休息一半作为测试数据