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Learning Constraints from Examples
Department of Computer Science, KU Leuven, Heverlee, Belgium.ORCID iD: 0000-0002-6860-6303
University of Trento, Povo Trento, Italy.
Department of Computer Science, KU Leuven, Heverlee, Belgium.
2018 (English)In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, Thirtieth Innovative Applications of Artificial Intelligence Conference, Eigth Symposium on Educational Advances in Artificial Intelligence: 2-7 February 2018, New Orleans, Louisiana, USA, CA AAAI Press , 2018, p. 7965-7970Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
CA AAAI Press , 2018. p. 7965-7970
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-87398ISBN: 9781577358008 (print)OAI: oai:DiVA.org:oru-87398DiVA, id: diva2:1501425
Conference
32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, New Orleans, Los Angeles, USA, February 2-7, 2018
Note

Funding Agency:

European Research Coun-cil (ERC) Advanced Grant 694980

Available from: 2020-11-17 Created: 2020-11-17 Last updated: 2022-10-12Bibliographically approved

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De Raedt, Luc

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