Learning constraints in spreadsheets and tabular data-Reference-Cited by-同舟云学术

Learning constraints in spreadsheets and tabular data

Published:2017-06-05 Issue:9-10 Volume:106 Page:1441-1468
ISSN:0885-6125
Container-title:Machine Learning
language:en
Short-container-title:Mach Learn

Author:

Kolb Samuel,Paramonov Sergey^ORCID,Guns Tias,De Raedt Luc

Funder

Fonds Wetenschappelijk Onderzoek

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s10994-017-5640-x/fulltext.html

Reference21 articles.

1. Beldiceanu, N., & Simonis, H. (2012). Principles and practice of constraint programming. In M. Milano (Ed.), A model seeker: Extracting global constraint models from positive examples (pp. 141–157). Berlin: Springer.

2. Bessiere, C., Coletta, R., Hebrard, E., Katsirelos, G., Lazaar, N., Narodytska, N., Quimper, C., & Walsh, T. (2013). Constraint acquisition via partial queries. In IJCAI.

3. Bessière, C., Coletta, R., Koriche, F., & O’Sullivan, B. (2005). A SAT-based version space algorithm for acquiring constraint satisfaction problems. In Proc. of ECML.

4. De Raedt, L. (2008). Logical and Relational Learning. New York: Springer.

5. De Raedt, L., & Dehaspe, L. (1997). Clausal discovery. Machine Learning, 26(2–3), 99–146.

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