�
What's New
6/16/2010 - The MSBNx sample code is now available for C# 4 and VS2010:
SamplesCSharp2010.zip
9/20/2007 - The MSBNx sample code is now available in C#:
SamplesCSharp.zip
1/31/2007 -- The first time you run MSBNx under Windows Vista, you'll
get this pop-up message: "DLL Self-registration failed for
HMMAddinLib.dll". Click "OK" and ignore the message.
9/10/2001 -- If you get a Run-Time 13 error when you try to run MSBNx, check
the FAQs for a fix. The FAQs also include help for timeout during
downloads.
08/02/2001 -- Before installing a new version,
you must uninstall the previous version.
08/02/2001 - Reading models from the WinMine tool not
supported for now. We are working on the issue.
08/01/2001 - Released version 1.4.0.2 - changes the default Value of
Information measure for diagnosis to
entropic. This avoids a problem with the KL-distance based measure.
MSBNx
MSBNx is a component-based Windows
application for creating, assessing, and evaluating Bayesian Networks, created at Microsoft Research.� The
application's installation module includes complete help files and sample
networks.� Bayesian Networks are�encoded in an
XML file format. The application
and its components run on Windows 98, Windows
2000, and Windows XP.
Comments and
Questions
Please email dtg-msbn@microsoft.com with your
comments or questions.
Background
See the Background page for information on how
Bayesian Networks are useful for diagnose and troubleshooting.
Recommendations
![[Example of recommendations]](MSBNx.1.gif) When doing diagnosis and troubleshooting, MSBNx can recommend what
evidence to gather next.
If you give MSBNx cost information, it does a cost-benefit analysis. If no
cost information is available, MSBNx makes recommendations based on the Value of
Information (VOI).
Assessment
MSBNx tries to make it easy for you to specify your probabilities for a
Bayesian Network.
- With the Standard Assessment Tool,
you can specify full and causally independent probability distributions.
- With the Asymmetric Assessment Tool,
you can avoid specifying redundant probabilities.
- If you have sufficient data and use
machine learning tools to create Bayesian Networks, you can use MSBNx to edit
and evaluate the results.
Use It in
Programs
![[Excerpt from MSBN3 component object model]](wpe2.gif) MSBNx is fully component based. Its most important
component is MSBN3, an ActiveX DLL. MSBN3 offers an extensive COM-based API for
editing and evaluating Bayesian Networks. You'll find MSBN3 especially easy to
use from COM-friendly languages such as Visual Basic and JScript.
MSBNx also includes graphical components, for example, both the Standard
Assessment and Asymmetric Assessment tools are ActiveX controls and can be used
in other applications.
Also, you can extend the editing and evaluation abilities of MSBNx by
creating add-ins. For example, MSBNx ships with an add-in for editing and
evaluating Hidden Markov Models.
More Information about
MSBNx
You can read about MSBNx in this tech report:
C.M. Kadie, D. Hovel, and
E. Horvitz. MSBNx: A
Component-Centric Toolkit for
Modeling and Inference with Bayesian Networks.
Microsoft Research Technical Report MSR-TR-2001-67, July 2001. (Word format, PDF
format)
You may also wish to peruse the comprehensive
manuals for MSBNx
An extensive manual documents MSBNx.
A comprehensive manual documents MSBN3.
Get On Our Mailing
List
If you'd like to receive announcements about MSBNx, send an empty email
to
�join-MSBNx-Announce@list.research.microsoft.com
More Information
Disclaimer
See the end-user license agreement (EULA) for limitations of liability and
support.
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