Feature selection for high dimensional ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
URL permanente :
Titre :
Feature selection for high dimensional regression using local search and statistical criteria
Auteur(s) :
Hamon, Julie [Auteur]
Dhaenens, Clarisse [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Even, Gaël [Auteur]
Jacques, Julien [Auteur]
Dhaenens, Clarisse [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Even, Gaël [Auteur]
Jacques, Julien [Auteur]
Titre de la manifestation scientifique :
International Conference on Metaheuristics and Nature Inspired Computing
Ville :
Port El-Kantaoui
Pays :
Tunisie
Date de début de la manifestation scientifique :
2012-10-27
Discipline(s) HAL :
Informatique [cs]/Recherche opérationnelle [cs.RO]
Résumé en anglais : [en]
Genomic selection is a genetic evaluation of animals from their DNA, based on a huge number of markers covering the whole genome. It requires advanced approaches and in particular feature selection methods. Feature selection ...
Lire la suite >Genomic selection is a genetic evaluation of animals from their DNA, based on a huge number of markers covering the whole genome. It requires advanced approaches and in particular feature selection methods. Feature selection is a combinatorial problem that may be addressed by combinatorial optimization methods. We propose to combine an iterated local search (ILS) with a statistical evaluation of a multivariate regression and we compared three criteria in order to analyse their impact on the performance of the local search.Lire moins >
Lire la suite >Genomic selection is a genetic evaluation of animals from their DNA, based on a huge number of markers covering the whole genome. It requires advanced approaches and in particular feature selection methods. Feature selection is a combinatorial problem that may be addressed by combinatorial optimization methods. We propose to combine an iterated local search (ILS) with a statistical evaluation of a multivariate regression and we compared three criteria in order to analyse their impact on the performance of the local search.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:10:59Z
2020-06-09T09:13:39Z
2021-06-04T09:00:50Z
2020-06-09T09:13:39Z
2021-06-04T09:00:50Z
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