Learning Constraints from Examples

Luc De Raedt, Andrea Passerini, Stefano Teso

AAAI 2018 pp. 7965-7970

doi:10.1609/AAAI.V32I1.12217 /aaai/2018/raedt2018aaai-learning/

Abstract

While constraints are ubiquitous in artificial intelligence and constraints are also commonly used in machine learning and data mining, the problem of learning constraints from examples has received less attention. In this paper, we discuss the problem of constraint learning in detail, indicate some subtle differences with standard machine learning problems, sketch some applications and summarize the state-of-the-art.

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Text

De Raedt et al. "Learning Constraints from Examples." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12217

Markdown

[De Raedt et al. "Learning Constraints from Examples." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/raedt2018aaai-learning/) doi:10.1609/AAAI.V32I1.12217

BibTeX

@inproceedings{raedt2018aaai-learning,
  title     = {{Learning Constraints from Examples}},
  author    = {De Raedt, Luc and Passerini, Andrea and Teso, Stefano},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {7965-7970},
  doi       = {10.1609/AAAI.V32I1.12217},
  url       = {https://mlanthology.org/aaai/2018/raedt2018aaai-learning/}
}