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Introducing a 'difficulty factor' for dataset bi-classification using SVM

Abstract:

This paper analyses the difficulty associated to the task of binary classification when a Support Vector Machine is employed for the construction of the classifier. Derived from a business management framework, an index is introduced in terms of the Lagrange multipliers and the number of support vectors. © 2013 The authors and IOS Press. All rights reserved.

Año de publicación:

2013

Keywords:

  • Lagrange multipliers
  • SVM
  • Complexity
  • classification
  • Glass dataset

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Aprendizaje automático
  • Ciencias de la computación

Áreas temáticas:

  • Programación informática, programas, datos, seguridad

Contribuidores:

Gonzalez-Abril L.Gonzalez-Abril L.
Cecilio Angulo BahónCecilio Angulo Bahón