Abstract
An upper bound on BDeu log local scores is derived using an existing upper bound on the beta function with $r$ variables. Two bounds on this bound are derived, one of which is suitable for pruning the search for optimal parent sets of a variable in Bayesian network learning. Empirical results concerning the tightness of bounds are given.
| Original language | English |
|---|---|
| Title of host publication | Proc. ECAI-2012 workshop on algorithmic issues for inference in graphical models (AIGM 2012) |
| Publication status | Published - 31 Aug 2012 |
| Event | ECAI-2012 workshop on algorithmic issues for inference in graphical models - Montpellier, France Duration: 27 Aug 2012 → 31 Aug 2012 |
Conference
| Conference | ECAI-2012 workshop on algorithmic issues for inference in graphical models |
|---|---|
| Abbreviated title | ECAI 2012 |
| Country/Territory | France |
| City | Montpellier |
| Period | 27/08/12 → 31/08/12 |
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