Inference in probabilistic logic programs with continuous random variables
نویسندگان
چکیده
منابع مشابه
Inference in probabilistic logic programs with continuous random variables
Probabilistic Logic Programming (PLP), exemplified by Sato and Kameya’s PRISM, Poole’s ICL, Raedt et al’s ProbLog and Vennekens et al’s LPAD, is aimed at combining statistical and logical knowledge representation and inference. However, the inference techniques used in these works rely on enumerating sets of explanations for a query answer. Consequently, these languages permit very limited use ...
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ژورنال
عنوان ژورنال: Theory and Practice of Logic Programming
سال: 2012
ISSN: 1471-0684,1475-3081
DOI: 10.1017/s1471068412000154