Ho Chi Minh City University of Technology Computer Science Department Distributed Computing Environment (DCE) Written by Nguyen Van Noi -59406114 nvnoi76@yahoo.com
標簽： Distributed Department University Technology
上傳時間： 2017-06-03
上傳用戶：410805624
51單片機系統中運用電腦上的大鍵盤！ Keyboard接線 PS/2--------51 1 DATA------P3.4 3 GND 4 VCC 5 CLK-------P3.3 接在51的外部中斷，觸發方式為低電平 AT89x51使用12M Modified by Shen Peng! Postgraduate of 2003, 7 Department Harbin Engineering University
上傳時間： 2013-12-19
上傳用戶：宋桃子
Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).
標簽： HTK automatic research Toolkit
上傳時間： 2015-05-26
上傳用戶：myworkpost
Copyright Copyright © 2004 O Reilly Media, Inc. Printed in the United States of America. Published by O Reilly MediaInc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O Reilly & Associates books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://safari.oreilly.com). For more information, contact our corporate/institutional sales Department: (800) 998-9938 or corporate@oreilly.com. Nutshell Handbook, the Nutshell Handbook logo, and the O Reilly logo are registered trademarks of O Reilly Media, Inc The Cookbook series designations, Java Servlet and JSP Cookbook, the image of a fennec fox, and related trade dress are trademarks of O Reilly & Associates, Inc. Java and all Java-based trademarks and logos are trademarks or registered trademarks of Sun Microsystems, Inc., in the United States
標簽： Copyright America Printed Reilly
上傳時間： 2014-08-20
上傳用戶：lps11188
Open Source for the Enterprise Open source software is changing the world of Information Technology. But making it work for your company is far more complicated than simply installing a copy of Linux. If you are serious about using open source to cut costs, accelerate development, and reduce vendor lock-in, you must institutionalize skills and create new ways of working. You must understand how open source is different from commercial software and what responsibilities and risks it brings. Open Source for the Enterprise is a sober guide to putting open source to work in the modern IT Department.
標簽： Open Information Enterprise the
上傳時間： 2013-12-27
上傳用戶：R50974
1. 用SYSDBA登錄服務器，并且創建一個MISDBA用戶，密碼為PASSWORD。 2. 用SYSDBA用戶創建MISDB數據庫（可直接注冊使用光盤提供的MISDB.GDB）。 3. 用MISDBA用戶登錄MISDB數據庫。 4. 在ISQL中，依次輸入第5章的數據表創建SQL語句；或者根據表5-1至表5-7自行創建數據表。 5. 在SQL Explorer中創建MISDB數據庫連接。 6. 用MISDBA用戶登錄，并且輸入原始數據。除了表5-8至表5-11的內容，還需要根據需要設置部門（Department）、職務（JOB）和人事科登錄用戶（ID=’RSK’，PASSWD=’RSK’，AUTHORITY=’3’，STATE=’F’）。 7. 修改源程序中的數據庫連接組件參數。
上傳時間： 2013-12-16
上傳用戶：縹緲
This data set contains WWW-pages collected from computer science Departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group. The 8,282 pages were manually classified into the following categories: student (1641) faculty (1124) staff (137) Department (182) course (930) project (504) other (3764)
標簽： universities Departments WWW-pages collected
上傳時間： 2015-11-12
上傳用戶：chenlong
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 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.
標簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
算法導論英文版 This book is one of a series of texts written by faculty of the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology. I
標簽： Engineering Electrical of faculty
上傳時間： 2016-04-07
上傳用戶：123456wh
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.
標簽： sequential reversible algorithm nstrates
上傳時間： 2014-01-18
上傳用戶：康郎
