ProbLog2: From Probabilistic Programming to Statistical Relational Learning

نویسندگان

  • Joris Renkens
  • Dimitar Shterionov
  • Guy Van den Broeck
  • Jonas Vlasselaer
  • Daan Fierens
  • Wannes Meert
  • Gerda Janssens
  • Luc De Raedt
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