MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing

Abstract : Search of algorithms ensemble – that is, best algorithms combination is common used approach in machine learning. MeLiF algorithm uses this technique for filter feature selection. In our research we proposed parallel version of this algorithm and showed that it is not only improves algorithm performance significantly, but also improves feature selection quality.
Type de document :
Communication dans un congrès
Lazaros Iliadis; Ilias Maglogiannis. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology, AICT-475, pp.341-347, 2016, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-44944-9_29〉
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01557602
Contributeur : Hal Ifip <>
Soumis le : jeudi 6 juillet 2017 - 13:55:07
Dernière modification le : vendredi 1 décembre 2017 - 01:16:27
Document(s) archivé(s) le : mercredi 24 janvier 2018 - 02:58:45

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Ilya Isaev, Ivan Smetannikov. MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing. Lazaros Iliadis; Ilias Maglogiannis. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. IFIP Advances in Information and Communication Technology, AICT-475, pp.341-347, 2016, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-44944-9_29〉. 〈hal-01557602〉

Partager

Métriques

Consultations de la notice

27