ML Anthology

SEDiL: Software for Edit Distance Learning

Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban
ECML-PKDD 2008 pp. 672-677
doi:10.1007/978-3-540-87481-2_45 /ecmlpkdd/2008/boyer2008ecmlpkdd-sedil/

Abstract

In this paper, we present SEDiL , a S oftware for E dit Di stance L earning . SEDiL is 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.

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Cite

Text

Boyer et al. "SEDiL: Software for Edit Distance Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008. doi:10.1007/978-3-540-87481-2_45

Markdown

[Boyer et al. "SEDiL: Software for Edit Distance Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.](https://mlanthology.org/ecmlpkdd/2008/boyer2008ecmlpkdd-sedil/) doi:10.1007/978-3-540-87481-2_45

BibTeX

@inproceedings{boyer2008ecmlpkdd-sedil,
  title     = {{SEDiL: Software for Edit Distance Learning}},
  author    = {Boyer, Laurent and Esposito, Yann and Habrard, Amaury and Oncina, José and Sebban, Marc},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2008},
  pages     = {672-677},
  doi       = {10.1007/978-3-540-87481-2_45},
  url       = {https://mlanthology.org/ecmlpkdd/2008/boyer2008ecmlpkdd-sedil/}
}