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Personne :
Picard-Cantin, Émilie

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Picard-Cantin

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Émilie

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Université Laval. Département d'informatique et de génie logiciel

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ncf11918895

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Résultats de recherche

Voici les éléments 1 - 2 sur 2
  • PublicationAccès libre
    Learning parameters for the sequence constraint from solutions
    (SpringerLink, 2016-08-23) Sweeney, Jason Pierre; Picard-Cantin, Émilie; Bouchard, Mathieu; Quimper, Claude-Guy
    This paper studies the problem of learning parameters for global constraints such as Sequence from a small set of positive examples. The proposed technique computes the probability of observing a given constraint in a random solution. This probability is used to select the more likely constraint in a list of candidates. The learning method can be applied to both soft and hard constraints
  • PublicationAccès libre
    Learning the parameters of global constraints using branch-and-bound
    (Springer Link, 2017-08-23) Sweeney, Jason Pierre; Picard-Cantin, Émilie; Bouchard, Mathieu; Quimper, Claude-Guy
    Precise constraint satisfaction modeling requires specific knowledge acquired from multiple past cases. We address this issue with a general branch-and-bound algorithm that learns the parameters of a given global constraint from a small set of positive solutions. The idea is to cleverly explore the possible combinations taken by the constraint’s parameters without explicitly enumerating all combinations. We apply our method to learn parameters of global constraints used in timetabling problems such as Sequence and SubsetFocus. The later constraint is our adaptation of the constraint Focus to timetabling problems.