Probabilistic (logic) programming concepts

Abstract

A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex, structured probability distributions. Each of these languages employs its own probabilistic primitives, and comes with a particular syntax, semantics and inference procedure. This makes… (More)
DOI: 10.1007/s10994-015-5494-z

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Cite this paper

@article{Raedt2015ProbabilisticP, title={Probabilistic (logic) programming concepts}, author={Luc De Raedt and Angelika Kimmig}, journal={Machine Learning}, year={2015}, volume={100}, pages={5-47} }