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Communication Dans Un Congrès Année : 2000

Abstraction and Phase Transitions in Relational Learning

Lorenza Saitta
  • Fonction : Auteur

Résumé

Computational complexity is often a major obstacle to the application of AI techniques to significant real-world problems. Efforts are then required to understand the sources of this complexity, in order to tame it without introducing, if possible, too strong simplifications that make either the problem or the technique useless.

Dates et versions

hal-01572560 , version 1 (07-08-2017)

Identifiants

Citer

Lorenza Saitta, Jean-Daniel Zucker. Abstraction and Phase Transitions in Relational Learning. Symposium on Abstraction, Reformulation and Approximation, SARA 2000, Jul 2000, Horseshoe Bay, United States. pp.291-302, ⟨10.1007/3-540-44914-0_19⟩. ⟨hal-01572560⟩
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