Abstract
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints show the interest of our approach. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
APA
Bessiere, C., Coletta, R., & Petit, T. (2005). Acquiring parameters of implied global constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3709 LNCS, pp. 747–751). https://doi.org/10.1007/11564751_57
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