Nonlinear optimization and support vector machines

HIGHLIGHTS

• who: Veronica Piccialli from the Dipartimento di Ingegneria Informatica, Automatica e Gestionale "ARuberti", Sapienza Università degli Studi di Roma, via Ariosto, Roma, Italy have published the paper: Nonlinear optimization and support vector machines, in the Journal: (JOURNAL)
• what: The authors analyze the most important and used optimization methods for SVM training problems and the authors discuss how the properties of these problems can be incorporated in designing useful algorithms. In this paper, as done in Piccialli and Sciandrone , the authors focus on supervised (linear and nonlinear) binary SVM classifiers, whose task is to classify objects . . .
  

   

  

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