Researchers from Tsinghua University Proposes a Novel Slide Loss Function to Enhance SVM Classification for Robust Machine Learning

In machine learning, one method that has consistently demonstrated its worth across various applications is the Support Vector Machine (SVM). Known for its adeptness at parsing through high-dimensional spaces, SVM is designed to draw an optimal dividing line,  or hyperplane, between data points belonging to different classes. This hyperplane is critical as it allows predictions […]

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