Listar Departamento de Informática y Análisis Numérico por autor "a3a0e47d-d8d5-4cd2-9f78-ec42696ac804"

Mostrando ítems 1-3 de 3

    • Improving spiking neural network performance with auxiliary learning 

      Cachi, Paolo G.; Ventura Soto, S.; Cios, Krzysztof (MDPI, 2023)
      The use of back propagation through the time learning rule enabled the supervised training of deep spiking neural networks to process temporal neuromorphic data. However, their performance is still below non-spiking neural ...

    • Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels 

      Cano, Alberto; Ventura Soto, S.; Cios, Krzysztof J. (2017)
      CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof- the-art algorithms for discretizing data for which classes are known. However, it may take a long time when run on high-dimensional large-scale ...

    • ur-CAIM: Improved CAIM Discretization for Unbalanced and Balanced Data 

      Cano, Alberto; Nguyen, Dat T.; Ventura Soto, S.; Cios, Krzysztof J. (2015-10-15)
      Supervised discretization is one of basic data preprocessing techniques used in data mining. CAIM (Class- Attribute InterdependenceMaximization) is a discretization algorithm of data for which the classes are known. ...