Browsing by Author "63e5c320-c547-4e86-b627-05eb6d809a09"

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    • Scalable and interpretable kernel methods based on random Fourier features 

      Otto, Mateus Piovezan (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 29/03/2023)
      Kernel methods are a class of statistical machine learning models based on positive semidefinite kernels, which serve as a measure of similarity between data features. Examples of kernel methods include kernel ridge ...