Name
Abstract | ||
|---|---|---|
Given an undirected graph G or hypergraph H model for a given set of variables V, we introduce two marginalization operators for obtaining the undirected graph GA or hypergraph HA associated with a given subset A ⊂ V such that the marginal distribution of A factorizes according to GA or HA, respectively. Finally, we illustrate the method by its application to some practical examples. With them we show that hypergraph models allow defining a finer factorization or performing a more precise conditional independence analysis than undirected graph models. |
Year | Venue | Keywords |
|---|---|---|
2013 | UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence | marginal distribution,finer factorization,hypergraph ha,practical example,marginalization operator,undirected graph,hypergraph h model,undirected graph model,hypergraph model,variables v |
DocType | Volume | ISBN |
Journal | abs/1301.7366 | 1-55860-555-X |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrique Castillo | 1 | 555 | 59.86 |
| Juan M. Fernández-Luna | 2 | 552 | 53.80 |
| Pilar Sanmartín | 3 | 0 | 0.68 |