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Cleara
- <%@ LANGUAGE=\"VBscr ipt\" %> <!--#include file=\"util.asp\" --> <% Head=\"您放入购物车的物品已经全数退回!\" Session(\"ProductList\") = \"\" %> <html> <head> <meta http-equiv=\"Con
实例79
- 一个简单的树形程序-a simple procedure tr
二叉树树
- 数据结构的二叉-the binary tree data structure tr
CheckBoxTreeCtrl
- 具有checkbox的tr-checkbox with the tr
line_detection
- Line detection in gray scale using hough transform-Line detection in gray scale using hough tr ansform
RawSocket
- 本文专门讲解如何运用这种原始套接字,来模拟I P的一些实用工具,比如Tr a c e r o u t e和P i n g程序等等。使用原始套接字,亦可对I P头信息进行实际的操作。
sh
- Decision Tree Decision Tr
3GPP-standard
- 3GPP业务标准 3GPP TR 23.910 V5.5.0 (2005-03) TS23.172 TS23.246 TS25.346
LL(1)yufafenxi
- *--- --- --声明--- --- -----*/ /* VC6.0下运行通过 此程序为本人苦心所做,请您在阅读的时候,尊重本人的 劳动。可以修改,但当做的每一处矫正或改进时,请将改进 方案,及修改部分发给本人 (修改部分请注名明:修改字样) Email: jink2005@sina.com QQ: 272576320 ——初稿完成:06-5-27 jink2005 补充
Shop1_3_Arrays_Linked_List_Binary_Search_Tree
- Shop1_3 _ Arrays_Linked List_Binary Search Tree Sh op1_3 _ Arrays_Linked List_Binary Search Tr
ajaxmutitree
- ajax和asp写的无限级目录的tr
fractal_tree
- 使用遞迴運\算畫出fractal tree,使用者可自行輸入遞迴次數,畫出不同level的tr
3D
- 3D地形模拟2(带纹理)PocketPC版 依据一本OpenGL上的例子修改的,在OGLES上没有找到绘画QUAD的函数,就用了两个三角形来替代,主要用到的还有FOG等效果,其实在PPC上能够体现出来的性能极其有限了。 带纹理的,主要要用到glTexImage2D,效果如图。使用的时候将纹理文件tr.rgb放到根目录下即可。 运行时,按左右将重新生成随机地形,按下退出。
oefai-tr-2003-09
- A New Approach to Hierarchical Clustering
第七章 树
- C数据结构 第七章 树-C data structures Chapter VII of the tr
rjMCMCsa
- On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dim
tr
- c语言无线通信发送程序,采用RF9e5芯片进行接收
PanGraphRun
- #include <QtGui/QApplication> #include <QtCore/QTextCodec> #include \"PanGraphRun.h\" int main(int argc, char *argv[]) { QApplication a(argc, argv) QTextCodec::setCodecForTr(QTextCodec::code
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model param