ml-recall

#geometric-margin

3 questions from Support Vector Machines

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Question 1: Short answer

mediumAI-checkedSupport Vector Machines

A hard-margin linear SVM (with an offset) is trained on four points in the plane: positives $(0, 0)$ and $(2, 2)$ , negatives $(0.5, 1)$ and $(0, 3)$ . What is the geometric margin, i.e. the distance from the maximum-margin boundary to the closest training point?

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