SEDiL: Software for Edit Distance Learning

Laurent Boyer (1) , Yann Esposito (2) , Amaury Habrard (2) , Jose Oncina (3) , Marc Sebban (1)

1 LHC - Laboratoire Hubert Curien
2 LIF - Laboratoire d'informatique Fondamentale de Marseille - UMR 6166
3 LSI - Departamento de Lenguajes y Sistemas Informáticos [Alicante]

In this paper, we present SEDiL, a Software forEdit Distance Learning. SEDiL is an innovative prototype implementation grouping together most of the state of the art methods that aim to automatically learn the parameters of string and tree edit distances.

Domaines: Apprentissage [cs.LG]

Laurent Boyer, Yann Esposito, Amaury Habrard, Jose Oncina, Marc Sebban. SEDiL: Software for Edit Distance Learning. European Conference on Machine Learning (ECML 2008), Sep 2008, Belgium. pp.672-677. ⟨hal-00295148⟩