Hibernate: A Developer s Notebook shows you how to use Hibernate to automate persistence: you write natural Java objects and some simple configuration files, and Hibernate automates all the interaction between your objects and the database. You don t even need to know the database is there, and you can change from one database to another simply by changing a few statements in a configuration file. If you ve needed to add a database backend to your application, don t put it off. It s much more fun than it used to be, and Hibernate: A Developer s Notebook shows you why.
标签： Hibernate persistence Developer you
上传时间： 2016-04-07
上传用户：123啊
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
Without this, the debugger spontaneously fails! 1 - Install mdk315b 2 - Replace the files: \Keil\ARM\BIN\ARM.DLL with one from mdk305a\Keil\ARM\BIN\ARM.DLL \Keil\ARM\BIN31\ARM.DLL with one from mdk305a\Keil\ARM\BIN30\ARM.DLL \Keil\UV3\UV3.DLL with one from mdk305a\Keil\UV3\UV3.DLL (*) 3 - Use KeyGen (Ver3p4 works) Select ARM, With computer ID code , External CID code and RealView MDK (or RealView RL) Note: Must replace DLLs before entry of serial (*) - May not be necessary (???)
标签： spontaneously the debugger Without
上传时间： 2016-04-13
上传用户：小宝爱考拉
1) Write a function reverse(A) which takes a matrix A of arbitrary dimensions as input and returns a matrix B consisting of the columns of A in reverse order. Thus for example, if A = 1 2 3 then B = 3 2 1 4 5 6 6 5 4 7 8 9 9 8 7 Write a main program to call reverse(A) for the matrix A = magic(5). Print to the screen both A and reverse(A). 2) Write a program which accepts an input k from the keyboard, and which prints out the smallest fibonacci number that is at least as large as k. The program should also print out its position in the fibonacci sequence. Here is a sample of input and output: Enter k>0: 100 144 is the smallest fibonacci number greater than or equal to 100. It is the 12th fibonacci number.
标签： dimensions arbitrary function reverse
上传时间： 2016-04-16
上传用户：waitingfy
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
关于Flash的烧写程序的编写，要使用FlashBurn软件配合FBTC.out才能把*.hex文件少写到Flash中
上传时间： 2016-04-20
上传用户：二驱蚊器
This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.
标签： Classifier Discriminant Two-Category Functions
上传时间： 2016-04-23
上传用户：2525775
神经网络工具箱，包含SVM和NPA、"one-against-all" 、"one-against-one" 算法，有大量的例子。
上传时间： 2016-04-23
上传用户：xhz1993
MPEG2 Loopback Demo"实现1路D1格式视频DSP端采集、MPEG2编码、MPEG2解码和视频输出回放显示。 该演示程序共包括如下2个文件夹，每一个文件夹的内容介绍如下： 01. DSP out--该文件夹下包含本公司提供的DSP端应用程序，以.out文件形式给出。 02. Documents--该文件夹下包含演示程序使用说明文档。
上传时间： 2013-12-20
上传用户：13160677563
