Several propositional fragments have been considered so far as target languages for knowledge compilation and used for improving computational tasks from major AI areas (like infe...
Sylvie Coste-Marquis, Daniel Le Berre, Florian Let...
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
A number of compact representation forms that are investigated in the knowledge compilation community are utilized in interactive product configuration and other forms of decisio...
The enforcement of semantic integrity constraints in data and knowledge bases constitutea a major performance bottleneck. Integrity constraint simplification methods aim at reduci...
One performance-critical phase in the SML.NET compiler involves rewriting intermediate terms to monadic normal form and performing non-duplicating β-reductions. We present an impe...
Nick Benton, Andrew Kennedy, Sam Lindley, Claudio ...