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.
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 Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the Directory webalgorithm containing the required m files. Go to this Directory, load matlab5 and type "demo_MC" for the demo.
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Visual Studio Project Renamer
For Win9x/NT/2k
By Niek Albers
nieka@daansystems.com
(C)2001 DaanSystems
Homepage: http://www.daansystems.com
------------------------------------
Use with care and on your own risk!
Make backups before you use this program.
Do a rebuild all on your renamed project.
Usage: vsrename <oldname> <newname> <dir>
Where:
oldname : The old name of your project (typically the xxx from xxx.dsw)
newname : The new name for your project
dir : The Directory tree that holds the project.
The program will replace all occurences of oldname to newname in all
files and rename all filenames that have the old name in it.
It will walk subdirectories.
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab Directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
較早版本的kalman濾波matlab源碼，適合研讀。
If your application uses MFC in a shared DLL, and your application is
in a language other than the operating system s current language, you
will need to copy the corresponding localized resources MFC42XXX.DLL
from the Microsoft Visual C++ CD-ROM onto the system or system32 Directory,
and rename it to be MFCLOC.DLL. ("XXX" stands for the language abbreviation.
For example, MFC42DEU.DLL contains resources translated to German.) If you
don t do this, some of the UI elements of your application will remain in the
language of the operating system.
JAVA通用開發框架(Java Common Development Framework，簡稱JCDF)是基于J2EE（Java2 platform, Enterprise Edition）開發平臺，面向企業的分布式開發框架。JCDF集中JSP（Java Server Pages），Servlets，EJB（Enterprise JavaBeans）組件，JDBC，JNDI（Java Naming and Directory Interface），標簽庫（TagLib），XML文檔格式等關鍵技術，采用眾多開發模式，為基于J2EE平臺開發提供了一套標準、健壯、安全的開發流程，對于許多在軟件工程中經常遇到的問題，提供了解決、實現方案。
Deployment of Server
1.install Tomcat(superior than j2sdk1.4.2 and Tomcat 5.0),and setup the envionment variables of JAVA_HOME
2.decompress file assignment2.war, and copy the Directory to the Directory called webapps in localhost machine.
3.start Tomcat
4.access to the application via http://<hostname>:8080/assignment2
FFTW, a collection of fast C routines to compute the Discrete
Fourier Transform in one or more dimensions.The fftw/ Directory contains the source code for the complex transforms,
and the rfftw/ Directory contains the source code for the real transforms.
For build this project you can use ant (www.apache.org). Before build project rename
file build.properties.pattern in build.properties and set specific for your machine
parameters, then start build.bat (for Windows platform) or build.sh (for Linux)
in root project folder. After compile process all binary files will be copy into
build forlder.
For additional information please visit web site http://www.m-g.ru/corba
To subscribe on news about MT_DORB send e-mail with subject subscribe to corba@m-g.ru
We recommend that you place the MTDORB_UCUtils.dll ( or MTDORB_UCUtils.so for Linux)
in the Windows\System Directory (or Windows\System32 for WinNT and Win2K and
/lib for Linux).
Main MTDORB author: Oleg V. Safonov <safonov@m-g.ru>
