1. Probabilistic reasoning with uncertain evidence
- Creator:
- Vomlel, Jiří
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- probabilistic models, Bayesian networks, belief revision, and model revision
- Language:
- English
- Description:
- Bayesian networks became a popiilar framework for reasoning with uncertainty. Efficient methods have been developed for probabilistic reasoning with new evidence. However, when new evidence is nncertain or imprecise, different methods have been proposed. The original contribution of this paper are guidelines for the treatment of different types of uncertain evidence, the rules for combining evidence from different sources, and the model revision with nncertain evidence.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public