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- W178115344 abstract "In this paper we present a new algorithm for generatively learning the structure of Markov Logic Networks. This algorithm relies on a graph of predicates, which summarizes the links existing between predicates and on relational information between ground atoms in the training database. Candidate clauses are produced by means of a heuristical variabilization technique. According to our first experiments, this approach appears to be promising." @default.
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- W178115344 date "2011-07-16" @default.
- W178115344 modified "2023-10-15" @default.
- W178115344 title "Generative Structure Learning for Markov Logic Networks Based on Graph of Predicates" @default.
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