Publications:
All
- Boyer, L.; Esposito, Y.; Habrard, A.; Oncina, J.; Sebban, M.
"SEDiL: Software for Edit Distance Learning" Lecture Notes in Computer Science. Machine Learning and Knowledge Discovery in Databases, vol. 5212, pp. 672-677
(2008)
: bibtex
: pdfAbstract: 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.
@article {
author = "Boyer, L.; Esposito, Y.; Habrard, A.; Oncina, J.; Sebban, M.",
title = "SEDiL: Software for Edit Distance Learning",
journal = "Lecture Notes in Computer Science. Machine Learning and Knowledge Discovery in Databases",
month = "September",
pages = "672-677",
volume = "5212",
year = "2008"
}
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