Now showing items 1-7 of 7

  • A first approximation in order to define a Difficulty Factor of the bi-classification in a dataset by using SVMs 

    González Abril, Luis; Angulo Bahón, Cecilio (2013)
    Conference lecture
    Open Access
    The main aim in this paper is to analyze the complexity of a Support Vector Machine -SVM- in the construction of a classifier for a bi-classification problem on a specific dataset. Hence, an index is defined in terms of ...
  • A post-processing strategy for SVM learning from unbalanced data 

    Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2011)
    Conference lecture
    Open Access
    Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the Fisher’s discriminant analysis, a post-processing strategy is introduced to deal datasets with significant imbalance ...
  • A probabilistic tri-class Support Vector Machine 

    González Abril, Luis; Angulo Bahón, Cecilio; Velasco Morente, Francisco; Ortega Ramírez, Juan Antonio (2010-07)
    Article
    Open Access
    A probabilistic interpretation for the output obtained from a tri-class Support Vector Machine into a multi-classification problem is presented in this paper. Probabilistic outputs are defined when solving a multi-class ...
  • A study on output normalization in multiclass SVMs 

    González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2013-02-01)
    Article
    Restricted access - publisher's policy
    The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, ...
  • Máquinas de soporte vectorial sobre conjuntos de datos no balanceados: propuesta de un nuevo sesgo 

    Núñez Castro, Haydemar; González Abril, Luis; Angulo Bahón, Cecilio (2012-09)
    External research report
    Open Access
    En el aprendizaje con conjuntos de datos no balanceados, la máquina de soporte vectorial (SVM) puede exhibir un bajo rendimiento sobre la clase minoritaria ya que, como otras máquinas de aprendizaje, están diseñadas para ...
  • Modificación del sesgo de una SVM entrenada sobre clases no balanceadas 

    Núñez Castro, Haydemar; Angulo Bahón, Cecilio; González Abril, Luis (Universidad de Sevilla, 2011)
    Conference report
    Open Access
    En el área de aprendizaje automático, uno de los problemas que se presenta es el relacionado con las clases no balanceadas. Esto ocurre cuando en el conjunto de datos se dispone de muchos ejemplos de una clase, pero ...
  • Online motion recognition using an accelerometer in a mobile device 

    Fuentes, Daniel; González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio (2012)
    Article
    Open Access
    This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and ...