SEDiL: Software for Edit Distance Learning

Authors:
Laurent Boyer;Yann Esposito;Amaury Habrard;Jose Oncina;Marc Sebban
Affiliations:
Laboratoire Hubert Curien, Université de Saint-Etienne, France;Laboratoire Hubert Curien, Université de Saint-Etienne, France;Laboratoire d'Informatique Fondamentale, CNRS, Aix Marseille Université, France;Dep. de Languajes y Sistemas Informatico, Universidad de Alicante, Spain;Laboratoire Hubert Curien, Université de Saint-Etienne, France
Venue:
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Year:
2008

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Abstract

In this paper, we present SEDiL, a Software forEditDistanceLearning. SEDiLis an innovative prototype implementation grouping together most of the state of the art methods [1,2,3,4] that aim to automatically learn the parameters of string and tree edit distances.