Learning Constraints From Examples

Authors

  • Luc De Raedt KU Leuven
  • Andrea Passerini University of Trento
  • Stefano Teso KU Leuven

Keywords:

Machine Learning, Constraint Satisfaction, Constraint Programming, Constraint Learning, Structured Output Prediction

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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Published

2018-04-29

How to Cite

De Raedt, L., Passerini, A., & Teso, S. (2018). Learning Constraints From Examples. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/12217