Abstract
The problem of deciding the probability model equivalence of two PRISM programs is addressed. In the finite case this problem can be solved (albeit slowly) using techniques from emph{algebraic statistics}, specifically the computation of elimination ideals and Gr"{o}bner bases. A very brief introduction to algebraic statistics is given. Consideration is given to cases where shortcuts to proving/disproving model equivalence are available.
Original language | English |
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Title of host publication | Probabilistic, Logical and Relational Learning - A Further Synthesis |
Subtitle of host publication | Dagstuhl Seminar Proceedings |
Pages | 1-21 |
Volume | 7161 |
DOIs | |
Publication status | Published - 6 Mar 2008 |