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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. L. Micó; F. Moreno-Seco; J. S. Sánchez; J. M. Sotoca; R. A. Mollineda
    "On the use of different classification rules in an editing task"
    Lecture Notes in Computer Science, vol. 4109, pp. 747--754 (2006)
    : bibtex : pdf
    Abstract:

    Editing allows the selection of a representative subset of prototypes among the training sample to improve the performance of a classification task. The Wilson's editing algorithm was the first proposal and then a great variety of new editing techniques have been proposed based on it. This algorithm consists on the elimination of prototypes in the training set that are misclassified using the k-NN rule. From such editing scheme, a general editing procedure can be straightforward derived, where any classifier beyond k-NN can be used. In this paper, we analyze the behavior of this general editing procedure combined with 3 different neighborhood-based classification rules, including k-NN. The results reveal better performances of the 2 other techniques with respect to k-NN in most of cases.

@article {
 author = "L. Micó; F. Moreno-Seco; J. S. Sánchez; J. M. Sotoca; R. A. Mollineda",
 title  = "On the use of different classification rules in an editing task",
 journal = "Lecture Notes in Computer Science",
 pages = "747--754",
 volume = "4109",
 year = "2006"
}
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