A novel twin support vector machine with generalized pinball loss function for pattern classification

HIGHLIGHTS

• who: Wanida Panup and collaborators from the Department of Mathematics, Faculty of Science, Naresuan University, Phitsanulok, Thailand have published the research: A Novel Twin Support Vector Machine with Generalized Pinball Loss Function for Pattern Classification, in the Journal: Symmetry 2022, 14, 289. of /2022/
• what: There are some problems with the model itself, such as the objective function in the primal problem is non-differential, has imbalanced class information, is sensitive to outliers, and is sensitive to feature noise. Thorough experiments were carried out to evaluate the proposed GPin-TSVM model performance. The authors demonstrate . . .
  

   

  

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