Stoss — A stochastic simulation system for Bayesian belief networks. / Luo, Zhiyuan; Gammerman, Alex.
Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. ed. / Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi A. Zadeh. Vol. 521 Springer, 1991. p. 97-105.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Published
Abstract
This paper describes a computational system, called STOSS (STOchastic Simulation System), using the stochastic simulation method to perform probabilistic reasoning for Bayesian belief networks. The system is then applied to an artificial example in the field of forensic science and the results are compared with the calculations obtained using the Causal Probabilistic Reasoning System (CPRS).
| Original language | English |
|---|---|
| Title of host publication | Uncertainty in Knowledge Bases |
| Subtitle of host publication | Lecture Notes in Computer Science |
| Editors | Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh |
| Publisher | Springer |
| Pages | 97-105 |
| Volume | 521 |
| ISBN (Electronic) | 978-3-540-47580-4 |
| ISBN (Print) | 978-3-540-54346-6 |
| Publication status | Published - 1991 |
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
ID: 20645732