Abstract
A credal network associates a directed acyclic graph with a collection of sets of probability measures; it offers a compact representation for sets of multivariate distributions. In this paper we present a new algorithm for inference in credal networks based on an integer programming reformulation. We are concerned with computation of lower/upper probabilities for a variable in a given credal network. Experiments reported in this paper indicate that this new algorithm has better performance than existing ones for some important classes of networks.
Original language | English |
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Title of host publication | ISIPTA 2007 - Proceedings of the 5th International Symposium on Imprecise Probability |
Subtitle of host publication | Theories and Applications |
Publisher | Society for Imprecise Probability: Theories and Applications |
Pages | 145-154 |
Number of pages | 10 |
ISBN (Print) | 9788086742205 |
Publication status | Published - 1 Dec 2007 |
Externally published | Yes |
Event | 5th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2007 - Prague, Czech Republic Duration: 16 Jul 2007 → 19 Jul 2007 |
Conference
Conference | 5th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2007 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 16/07/07 → 19/07/07 |
Bibliographical note
(oral presentation, blind peer reviewed by >3 reviewers)Keywords
- Credal networks
- Integer programming