JavaServer Pages, Third Edition is completely revised and updated to cover the substantial changes in the 2.0 version of the JSP specification. It also includes detailed coverage of the major revisions to the JSP Standard Tag Library (JSTL) specification. Combining plenty of practical advice with detailed coverage of JSP syntax and features and clear, useful examples, JavaServer Pages, Third Edition demonstrates how to embed server-side Java into Web pages, while also covering important topics such as JavaBeans, Enterprise JavaBeans (EJB), and JDBC database access.
標簽： substantial JavaServer completely Edition
上傳時間： 2014-01-04
上傳用戶：mpquest
The Unisoft software module GERBER CONNECTION (CNC-BRIDGE). GERBER CONNECTION has all the features of VIEW-MARKUP and adds the ability to open multiple gerber file layers and add information to components. It is always the preference to use the CAD data vs. gerber data. If you do not have the CAD data then GERBER CONNECTION can help.
標簽： CONNECTION GERBER CNC-BRIDGE software
上傳時間： 2014-01-21
上傳用戶：13681659100
多項式曲線擬合 任意介數 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by something like this. CPolyFit<double> PolyFitObj double correlation_coefficiant = PolyFitObj.PolyFit(X, Y, A) where X and Y are vectors of doubles which must have the same size and A is a vector of doubles which must be the same size as the number of coefficients required. returns: The correlation coefficient or -1 on failure. produces: A vector (A) which holds the coefficients.
標簽： Least-squares arbitrary Purpose Builder
上傳時間： 2013-12-18
上傳用戶：宋桃子
Lex 和Yacc 簡明教程 本書將教會你如何使用lex 和yacc 構造一個編譯器。 lex 和yacc 是兩個用來生成詞匯分析器和剖析器的工具。 導言部分描寫了構建編譯器所需的基本部分，以及lex 和yacc 之間的互動關系。后面兩章更加詳細的描寫了lex 和 yacc。構建了一個經典的計算器程序。這個計算器支持常用 的算術符號和控制結構，例如實現了像ifelse和while 這樣的控制結構。經過小小的修改，就把這個計算器轉換成一個可以運行在基于棧的計算機上的編譯器。
上傳時間： 2013-12-19
上傳用戶：youke111
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
標簽： statistical Classical Abstract pattern
上傳時間： 2013-11-25
上傳用戶：www240697738
Kiss FFT is a small and simple FFT library. It has no complicated platform-specific optimizations, can do either fixed or floating point with just a recompile, and is efficient enough for all but the most demanding applications.
標簽： platform-specific optimizations complicated FFT
上傳時間： 2016-04-07
上傳用戶：h886166
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
標簽： crossroads confused telling again
上傳時間： 2016-04-12
上傳用戶：changeboy
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 College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007
標簽： demo PUMA algorithms for
上傳時間： 2016-04-23
上傳用戶：fhzm5658
First of all we would like to thank God Almighty for giving us the strength and confidence in pursing the ambitions. We would like to thank our Examiner Professor Axel Jantsch for allowing us to do this under his guidance and encouragement. At the same time we would like to mention our sincere thanks to Mr. Said Zainali, Manager of FRAME ACCESS AB for giving all the required equipment and the technical support which helped us to finish this thesis. We would like to mention our gratitude to our fellow VACS team members who helped us a lot during difficult times.
標簽： confidence Almighty strength giving
上傳時間： 2013-12-01
上傳用戶：小碼農lz
