Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and ...

J. Paul Brooks, Support Vector Machines with the Ramp Loss and the Hard Margin Loss, Operations Research, Vol. 59, No. 2 (March • April • 2011), pp. 467-479 ...

This month, we look at two very common supervised methods in the context of machine learning: linear support vector machines (SVMs) and k -nearest neighbors (kNNs).

Xiang Zhang, Yichao Wu, Lan Wang, Runze Li, Variable selection for support vector machines in moderately high dimensions, Journal of the Royal Statistical Society. Series B (Statistical Methodology), ...