Browsing by Subject "Outliers"

Browsing by Subject "Outliers"

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  • Singla, M.; Shukla, K.K. (Springer, 2020-08-01)
    Support vector machines (SVMs) are versatile learning models which are used for both classification and regression. Several authors have reported successful applications of SVM in a wide range of fields. With the continuous ...
  • Singla, M.; Ghosh, D.; Shukla, K.K.; Pedrycz, W. (Elsevier Ltd, 2020-09)
    In this work, with the help of the rescaled Hinge loss, we propose a twin support vector regression (TSVR) model that is robust to noise. The corresponding optimization problem turns out to be non-convex with smooth l2 ...