Introduction - If you have any usage issues, please Google them yourself
Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference"
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies.
The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method
for modelling almost any type of data.