منابع مشابه
Deep Probabilistic Logic Programming
Probabilistic logic programming under the distribution semantics has been very useful in machine learning. However, inference is expensive so machine learning algorithms may turn out to be slow. In this paper we consider a restriction of the language called hierarchical PLP in which clauses and predicates are hierarchically organized. In this case the language becomes truth-functional and infer...
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Of all scientiic investigations into reasoning with uncertainty and chance, probability theory is perhaps the best understood paradigm. Nevertheless, all studies conducted thus far into the semantics of quantitative logic programming(cf.) have restricted themselves to non-probabilistic semantical characterizations. In this paper, we take a few steps towards rectifying this situation. We deene a...
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ژورنال
عنوان ژورنال: Information and Computation
سال: 1992
ISSN: 0890-5401
DOI: 10.1016/0890-5401(92)90061-j