A Generalization of the Noisy-Or Model
–arXiv.org Artificial Intelligence
The Noisy-Or model is convenient for describing a class of uncertain relationships in Bayesian networks [Pearl 1988]. Pearl describes the Noisy-Or model for Boolean variables. Here we generalize the model to nary input and output variables and to arbitrary functions other than the Boolean OR function. This generalization is a useful modeling aid for construction of Bayesian networks. We illustrate with some examples including digital circuit diagnosis and network reliability analysis.
arXiv.org Artificial Intelligence
Mar-6-2013
- Country:
- North America > United States > California > Santa Clara County > Palo Alto (0.14)
- Genre:
- Research Report (0.40)