Name
Abstract | ||
|---|---|---|
In the probabilistic approach to uncertainty management the input knowledge is usually represented by means of some probability distributions. In this paper we assume that the input knowledge is given by two discrete conditional probability distributions, represented by two stochastic matrices P and Q. The consistency of the knowledge base is analyzed. Coherence conditions and explicit formulas for the extension to marginal distributions are obtained in some special cases. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1016/B978-1-4832-8287-9.50018-9 | UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence |
Keywords | DocType | Volume |
marginal distribution,special case,explicit formula,knowledge base,input knowledge,coherence condition,conditional probability assessment,knowledge integration,discrete conditional probability distribution,uncertainty management,probabilistic approach,probability distribution,conditional probability | Conference | abs/1303.5404 |
ISBN | Citations | PageRank |
1-55860-258-5 | 4 | 0.63 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Gilio | 1 | 419 | 42.04 |
| Fulvio Spezzaferri | 2 | 4 | 0.63 |