Context-specific sign-propagation in qualitative probabilistic networks

Artificial Intelligence

Volumn 140, Issue 1-2, 2002, Pages 207-230

  Renooij, Silja ^a   Van Der Gaag, Linda C ^a   Parsons, Simon ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Context specific independence; Non monotonicity; Probabilistic reasoning; Qualitative reasoning

Indexed keywords

COMPUTER NETWORKS; INFORMATION THEORY; PROBABILISTIC LOGICS;

PROBABILISTIC REASONING;

ARTIFICIAL INTELLIGENCE;

EID: 0036724040     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(02)00247-3     Document Type: Article

References (22)

1. The alarm monitoring system: A case study with two probabilistic inference techniques for belief networks
2. Context-specific independence in Bayesian networks
3. The computational complexity of probabilistic inference using belief networks
4. Using sensitivity analysis for efficient quantification of a belief network
5. Building probabilistic networks: Where do the numbers come from? - Guest editors' introduction
6. Efficient reasoning in qualitative probabilistic networks
7. Intercausal reasoning with uninstantiated ancestor nodes
8. Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
9. Qualitative propagation and scenario-based approaches to explanation in probabilistic reasoning
10. Quantification experience of a DSS for mildew management in winter wheat
11. Converting a rule-based expert system into a belief network
12. Local computations with probabilities on graphical structures and their application to expert systems
13. Using qualitative relationships for bounding probability distributions
14. Refining reasoning in qualitative probabilistic networks
15. Reasoning in networks with qualitative uncertainty
16. Enhancing QPNs for trade-off resolution
17. Pivotal pruning of trade-offs in QPNs
18. Probabilities for a probabilistic network: A case-study in oesophageal cancer
19. Fundamental concepts of qualitative probabilistic networks
20. On the role of context-specific independence in probabilistic inference