SEDiL: Software for Edit Distance Learning

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-00295148
Contributor : Marc Sebban <>
Submitted on : Friday, July 11, 2008 - 12:56:37 PM
Last modification on : Wednesday, July 25, 2018 - 2:05:31 PM
Long-term archiving on : Monday, October 1, 2012 - 11:05:22 AM

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  • HAL Id : hal-00295148, version 1

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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⟩

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