An Introduction to Belief Networks
Belief Networks
Probabilistic Knowledge
What can they compute
Degrees of Belief
Random Variables
Probability Distribution
Joint Probability Distribution
An Example of a JPD (flattened)
The Axioms of Probability
Conditional Probabilities
Bayes’ Rule
Independence
A Belief Network
d-Separation [Pearl]
Examples of d-separation
A BN is a complete model
Other ways to compute CPTs
Noisy-OR
Noisy-OR (Example)
Complexity
Expressiveness
References
Email: dimitris@cs.umb.edu
Home Page: www.cs.umb.edu/~dimitris