Title :

MOCA-I

Author(s) :

Mousin, Lucien [Auteur]
Operational Research, Knowledge And Data [ORKAD]
Université catholique de Lille [UCL]
Jourdan, Laetitia []
Operational Research, Knowledge And Data [ORKAD]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Jacques, Julie []
Operational Research, Knowledge And Data [ORKAD]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dhaenens, Clarisse []
Operational Research, Knowledge And Data [ORKAD]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Caron, Olivier []
Operational Research, Knowledge And Data [ORKAD]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

English keyword(s) :

Classification Algorithms
Metaheuristics
Machine Learning
Multi Objective Local Search

HAL domain(s) :

Computer Science [cs]/Operations Research [math.OC]
Informatique [cs]/Apprentissage [cs.LG]
Statistiques [stat]/Machine Learning [stat.ML]

English abstract : [en]

Implementation of a new algorithm called "MOCA-I" (Multi Objective Classification Algorithm for Imbalanced Data). This implementation exploits a multi-objective local search algorithm provided by the MH-Builder framework.Implementation of a new algorithm called "MOCA-I" (Multi Objective Classification Algorithm for Imbalanced Data). This implementation exploits a multi-objective local search algorithm provided by the MH-Builder framework.Show less >

Language :

Anglais

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL