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PRAIg '16 / +pics

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AERFAI Summer School on Deep Learning

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Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

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Barcelona: 16th October 2017

Publications:

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  1. 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 : pdf
    Abstract:

    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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