Here we are at the crossroads once again Youre telling me youre so confused You cant make up your mind Is this meant to be Youre asking me Trademark But only love can say - try again or walk away But I believe for you and me The sun will shine one day So Ill just play my part And pray you ll have a change of heart But I cant make you see it through Thats something only love can do Face to face and a thousand miles apart Ive tried my best to make you see Theres hope beyond the pain If we give enough if we learn to trust [Chorus] I know if I could find the words To touch you deep inside Youd give our dream just one more chance Dont let this be our good-bye
标签： crossroads confused telling again
上传时间： 2016-04-12
上传用户：changeboy
I built the Superlist control whilst developing an RSS reader called FeedGhost. Although there are plenty of commercial grouped list controls available I wanted to have total control over the code and of course its usability. Superlist supports drag drop column customisation, grouping as well as handling thousands of entries smoothly. It s also highly customisable if you want to change its look and feel. In this article I ll explain how to use and extend the control in a demo project. If you download the source, you can find demo project under the Tests/SuperListTest directory.
标签： developing Superlist FeedGhost Although
上传时间： 2016-04-15
上传用户：佳期如梦
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 and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
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 parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
usb bulk 传输例程。 * The bulkusb driver is a generic function driver, based on the Windows Driver Model (WDM). * Supports Plug and Play(PnP), Power Management(PM), Windows Management Instrumentation (WMI) and the Selective Suspend (SS) features. * This sample is based off the selSusp DDK sample. Please refer the selSusp sample and the DDK docs to understand the handling of PnP, PM, WMI and SS features and implementations. * The USB device used for this sample is a generic Intel I82930 USB evaluation board programmed with a simple loopback test using a 64 KB circular buffer. None of the code in the sample is specific to this controller chip.
标签： driver function Windows bulkusb
上传时间： 2016-04-25
上传用户：270189020
runs Kalman-Bucy filter over observations matrix Z for 1-step prediction onto matrix X (X can = Z) with model order p V = initial covariance of observation sequence noise returns model parameter estimation sequence A, sequence of predicted outcomes y_pred and error matrix Ey (reshaped) for y and Ea for a along with inovation prob P = P(y_t | D_t-1) = evidence
标签： matrix observations Kalman-Bucy prediction
上传时间： 2016-04-28
上传用户：huannan88
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.
标签： distribution Probability estimation functions
上传时间： 2016-04-28
上传用户：13188549192
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。
标签： identification neuro-fuzzy implemented analysis
上传时间： 2014-01-12
上传用户：zgu489
This folder has some scritps that you may find usefull. All of it comes from questions that I ve received in my email. If you have a new request/question, feel free to send it to marceloperlin@gmail.com. But please, don t ask me to do your homework. Passing_your_param0 This folder contains instructions (and m files) for passing you own initial parameters to the fitting function. I also included a simple simulation script that will create random initial coefficients (under the proper bounds) and fit the model to the data.
标签： that questions scritps usefull
上传时间： 2013-12-28
上传用户：netwolf
NAME: u2440mon.c DESC: u2440mon entry point,menu,download HISTORY: Mar.25.2002:purnnamu: S3C2400X profile.c is ported for S3C2410X. Mar.27.2002:purnnamu: DMA is enabled. Apr.01.2002:purnnamu: isDownloadReady flag is added. Apr.10.2002:purnnamu: - Selecting menu is available in the waiting loop. So, isDownloadReady flag gets not needed - UART ch.1 can be selected for the console. Aug.20.2002:purnnamu: revision number change 0.2 -> R1.1 Sep.03.2002:purnnamu: To remove the power noise in the USB signal, the unused CLKOUT0,1 is disabled.
标签： 2440 mon download purnnamu
上传时间： 2016-05-12
上传用户：wff
