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tanshishe
- 1.可设置方格数目，颜色，大小，线宽 2.随机产生一只老鼠 3.蛇可根据鼠标改变行动方向，当遇到老鼠是就吃掉，遇到自己的身体或边缘时死亡，并结束游戏 4.可产生音乐 5.可以进行文件操作（保存当前游戏进度或装入游戏进度及当前的环境设置等） 6.显示当前日期时间，及进度进行的时间 7.显示当前得分合排名 8.可进行鼠标操作，如菜单功能选择，方向改变等-1. Box number can be set, color, size, width 2. Randomly generated a mouse
DotNetTextBox
- 一、使用说明: 用VS2005以上版本打开DotNetTextBox.sln即可,其中Word_dntb目录为导入Word文档的源码,DotNetTextBox目录为DotNetTextBox的核心源码,DotNetTextBoxWebSite目录是调用DotNetTextBox控件的实例网站。 二、注意事项： (1)关于EnvDTE.Dll的问题. 如果虚拟主机运行控件没有出现Could not load file or assembly EnvDTE, Versi
PlayAlbum
- 实现以幻灯方式在Web上播放图片。 使用JS实现图片Load和Show
mp3de
- This implementation creates three processes: - The command line parse/control process. It runs continuously as root. - The MPEG decode/playback process. It revokes root rights as soon as it has enabled the realtime features, to minimize the ri
EMdemo
- n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
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 dimension (number of neurons) and
cximage599c_linux.tar
- cximage599c_linux: this provide makefile for linux(simply type make to build it) cximage is a C++ class to load, save, display, transform BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K images
src
- world wind java sdk load 3D model
RaoBlackwellisedParticleFilteringforDynamicBayesia
- The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient stat
ParticleFilteringforDynamicConditionallyGaussianMo
- In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
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 as unknowns. The derivation a
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 parameters, regularisation paramete
MCMC_Unscented_Particle_Filter_demo
- The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eri
BeeKitUserGuides
- This guide describes Freescale’s BeeKit Wireless Connectivity Toolkit configuration tool used for ZigBee, 802.15.4, or SMAC application development. The guide describes system requirements, installation, and how to launch BeeKit. The book then guides
Calculator
- 本计算器实现了如下两个功能： 1、windows自带计算器的键盘输入加减乘除，目前没有连续运算功能 操作：用户用键盘或者鼠标分别输入‘1’，‘＋’，‘2’，按‘＝’ 文本框显示运算结果‘3’。 2、表达式运算功能，目前只支持整数运算。 操作：选择菜单Option->Expression，在文本框用键盘输入表达式 如‘12/2+(4*5/4)*6’，按计算器上‘＝’，文本框显示运算结果 ‘12/2+(4*5/4)*6=36
rt
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tyh
- This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load This a test up load
tfreyh
- This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load
tfyh
- This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load This is a test up load This a test up load