Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Results for the Basque Language using EDA Feature Subset Selection.

Type de record:

paper
Créateur:
AndIdoAitEle
Hôte:avatar

Performance comparison between four Machine Learning paradigms (IB: Instance Based, ID3: Decision Tree, C4.5: Decision Tree, NB: Naive-Bayes) using EDA-FSS. Mean accuracy obtained in the three phases, for the Basque language, is shown. Results obtained with a standard FSS-Forward approach are also shown.

Visit

figshare.com

Tags

Biological SciencesScience PolicyMachine Learning paradigmEmotion recognitionSpeech Emotion RecognitionSeveral Machine Learning paradigmsfeature subset selection techniquesAchieved results showphaseemotion classification task+1

Licenses

CC BY 4.0