ListarGI-LIDIA - Artigos por tema "Ensemble learning"

Mostrando ítems 1-3 de 3

    • A One-Class Classification method based on Expanded Non-Convex Hulls 

      Novoa-Paradela, David; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (Elsevier, 2023)
      [Abstract]: This paper presents an intuitive, robust and efficient One-Class Classification algorithm. The method developed is called OCENCH (One-class Classification via Expanded Non-Convex Hulls) and bases its operation ...

    • Ensembles for feature selection: A review and future trends 

      Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Elsevier, 2019)
      [Abstract]: Ensemble learning is a prolific field in Machine Learning since it is based on the assumption that combining the output of multiple models is better than using a single model, and it usually provides good ...

    • On developing an automatic threshold applied to feature selection ensembles 

      Seijo Pardo, Borja; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Elsevier, 2019-01)
      [Abstract]: Feature selection ensemble methods are a recent approach aiming at adding diversity in sets of selected features, improving performance and obtaining more robust and stable results. However, using an ensemble ...