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Communication Dans Un Congrès Année : 2014

Evaluation protocol of early classifiers over multiple data sets

Résumé

Early classification approaches deal with the problem of reliably labeling incomplete time series as soon as possible given a level of confidence. While developing new approaches for this problem has been getting increasing attention recently, their evaluation are still not thoroughly considered. In this article, we propose a new evaluation protocol for early classifiers. This protocol is generic and does not depend on the criteria used to evaluate the classifiers. Our protocol is successfully applied to 23 publicly available data sets.
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Dates et versions

hal-01565542 , version 1 (19-07-2017)

Identifiants

  • HAL Id : hal-01565542 , version 1
  • PRODINRA : 399090
  • WOS : 000432982300066

Citer

Nabli Asma, Alexis Bondu, Antoine Cornuéjols. Evaluation protocol of early classifiers over multiple data sets. 21. International Conference on Neural Information Processing (ICONIP 2014), Nov 2014, Kuching, Malaysia. ⟨hal-01565542⟩
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