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 ch
β¦ LIBER β¦
A tool for network modeling
β Scribed by M. Forster; P. Mevert
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 731 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Matilda: A visual tool for modeling with
β
T. Boneh; A. E. Nicholson; E. A. Sonenberg
π
Article
π
2006
π
John Wiley and Sons
π
English
β 458 KB
Social network modeling: A powerful tool
β
Armand Jacobs; Odile Petit
π
Article
π
2011
π
John Wiley and Sons
π
English
β 88 KB
π 2 views
Network analysisβa useful but underused
β
P.E. Preece; B. Gay
π
Article
π
1979
π
Elsevier Science
π
English
β 394 KB
Artificial neural networks as a tool for
β
A. Bos; M. Bos; W.E. van der Linden
π
Article
π
1992
π
Elsevier Science
π
English
β 951 KB
Cal-1: A modeling tool for nonprogrammer
β
R. R. Favreau; John McLeod
π
Article
π
1975
π
John Wiley and Sons
π
English
β 297 KB
This paper describes a project that began as an attempt to modify the World 2 model for use as a regional model. This led to the development of a modeling format which embodies characteristics which make it exceptionally easy for relatively inexperienced modelers to understhd and use. Finally, this
Modeling language and tools for the sema
β
Hai Zhuge; Kehua Yuan; Jin Liu; Junsheng Zhang; Xiaofeng Wang
π
Article
π
2008
π
John Wiley and Sons
π
English
β 594 KB