Unified SVM algorithm based LS-DC Loss

16 Jun 2020Zhou ShuishengZhou Wendi

Over the past two decades, Support Vector Machine (SVM) has been a popular supervised machine learning model, and plenty of distinct algorithms are designed separately based on different KKT conditions of SVM model for classification/regression with the different losses, including the convex loss or non-convex loss. In this paper, we propose an algorithm that can train different SVM models in a \emph{unified} scheme... (read more)

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