Hi -
The ALARM network was originally developed by Beinlich et al. as an
experimental prototype that helps interpret monitoring data to alert
anesthesiologist to various situations in the operating room. It has
about 37 nodes, some binary, some non-binary. The original paper about
ALARM is the following:
http://smi-web.stanford.edu/pubs/SMI_Abstracts/SMI-88-0239.html
I. A. Beinlich, H. J. Suermondt, R. M. Chavez, & G. F. Cooper. The ALARM
Monitoring System: A Case Study with Two Probablistic Inference
Techniques for Belief Networks. Second European Conference on Artificial
Intelligence in Medicine, London, 38:247-256. 1989.
ALARM now ships as an example network with most common inference
engines. You can download it from the Bayesian network repository at
Berkeley -
http://www-nt.cs.berkeley.edu/home/nir/public_html/Repository/
ALARM was first used in belief-network learning by Herskovits and Cooper
as a test of their learning methods, Kutato and K2. An early paper on
that is:
http://smi-web.stanford.edu/pubs/SMI_Abstracts/SMI-90-0305.html
E. Herskovits & G. Cooper. Kutato: An Entropy-Driven System for
Construction of Probabilistic Expert Systems from Databases. Sixth
Conference on
Uncertainty in Artificial Intelligence, Cambridge, MA, 54-62. 1990.
Hope this helps
Jaap Suermondt
Hewlett-Packard Laboratories, Palo Alto, CA
YueBo wrote:
>
> Hello all,
> As an example, many people who devote learning
>
> Bayesian networks use the "Alarm network" to
> illustrate their algorithms. Now I am working at
> learning Bayesian networks and could anyone tell
> me where I can get the Alarm network?
> Thanks a lot!
>
> --
> YUE Bo, Ph.D.
> Key Lab for Radar Signal Processing
> Xidian University
> Xi'an, 710071
> P.R.China
>
> Email: YueBo@rsp.xidian.edu.cn
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