Guest editors introduction: special issue on inductive logic programming

@article{Davis2016GuestEI,
  title={Guest editors introduction: special issue on inductive logic programming},
  author={Jesse Davis and Jan Ramon},
  journal={Machine Learning},
  year={2016},
  volume={103},
  pages={307-308}
}
This special issue focuses on the field of Inductive Logic Programming (ILP), which is a subfield of machine learning that uses logic as a uniform representation language for examples, background knowledge and hypotheses. From these roots, ILP's scope has grown to encompass different approaches that address learning from structured relational data. One notable example is the area of statistical relational learning which focuses on extending ILP to model uncertainty. The special issue is also in… CONTINUE READING