A general-purpose machine learning r library for sparse kernels methods with an application for genome-based prediction

HIGHLIGHTS

  • who: A General- from the Facultad de Telemu00e1tica, Universidad de Colima, Colima, Mexico, Centro de Investigaciu00f3n en Computaciu00f3n (CIC), Instituto have published the research work: A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction, in the Journal: (JOURNAL) of 01/03/2022
  • what: The aim of this package is to provide a stand-alone (or self-contained) R software, focused on the austere implementation of only six basic supervised learning models that are easy to understand from the useru00b4s point-of- view. The kernel computation is . . .

     

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