ProbLog2: From Probabilistic Programming to Statistical Relational Learning
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چکیده
ProbLog is a probabilistic programming language based on Prolog. The new ProbLog system called ProbLog2 can solve a range of inference and learning tasks typical for the Probabilistic Graphical Models (PGM) and Statistical Relational Learning (SRL) communities. The main mechanism behind ProbLog2 is a conversion of the given program to a weighted Boolean formula. We argue that this conversion approach can also be applied with certain restrictions to other probabilistic programming languages such as Church and Figaro.
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تاریخ انتشار 2012