๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Matilda: A visual tool for modeling with Bayesian networks

โœ Scribed by T. Boneh; A. E. Nicholson; E. A. Sonenberg

Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
458 KB
Volume
21
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

โœฆ Synopsis

A Bayesian Network ~BN! consists of a qualitative part representing the structural assumptions of the domain and a quantitative part, the parameters. To date, knowledge engineering support has focused on parameter elicitation, with little support for designing the graphical structure. Poor design choices in BN construction can impact the network's performance, network maintenance, and the explanatory power of the output. We present a tool to help domain experts examine BN structure independently of the parameters. Our qualitative evaluation of the tool shows that it can help in identifying possible structural modeling errors and, hence, improve the quality of BN models.

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