Listar por autor "Beceiro, Bieito"

Mostrando ítems 1-4 de 4

    • Acceleration of a Feature Selection Algorithm Using High Performance Computing 

      Beceiro, Bieito; González-Domínguez, Jorge; Touriño, Juan (MDPI AG, 2020-09-01)
      [Abstract] Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same ...

    • CUDA acceleration of MI-based feature selection methods 

      Beceiro, Bieito; González-Domínguez, Jorge; Morán-Fernández, Laura; Bolón-Canedo, Verónica; Touriño, Juan (Elsevier, 2024-08)
      [Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...

    • Parallel-FST: A feature selection library for multicore clusters 

      Beceiro, Bieito; González-Domínguez, Jorge; Touriño, Juan (Elsevier, 2022-11)
      [Abstract]: Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This work presents Parallel-FST, a publicly available ...

    • Parallel-FST: aceleración de algoritmos de selección de características mediante computación paralela 

      Beceiro, Bieito (2020)
      [Resumo] Na actualidade estase a producir un auxe da produción e consumo de grandes cantidades de información (big data), que deben procesarse e prepararse para o seu posterior uso. Entre as ferramentas que se utilizan ...