Título: SEDiL: Software for Edit Distance Learning
Autores: Boyer, Laurent
Esposito, Yann
Habrard, Amaury
Oncina Carratalá, Jose
Sebban, Marc
Fecha: 2008-11-06
2008-11-06
2008-09
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/bookPart
Tema: Automatically learn
Edit distance learning
software
Lenguajes y Sistemas Informáticos
Descripción: In this paper, we present SEDiL, a Software for Edit 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.
This work was funded by the French ANR Marmota project, the Pascal Network of Excellence and the Spanish research programme Consolider Ingenio-2010 (CSD2007-00018).
Idioma: Inglés

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