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ml-recall

#soft-margin

2 questions from Support Vector Machines

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2 questions · 2 min · score and explanations at the end

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Question 1: Single choice

hardAI-checkedSupport Vector Machines

The SVM dual maximizes ∑iαi−12∑i,jαiαjyiyjK(xi,xj)\sum_i \alpha_i - \frac{1}{2}\sum_{i,j}\alpha_i\alpha_j y_i y_j K(x_i, x_j) subject to ∑iαiyi=0\sum_i \alpha_i y_i = 0 plus bounds on the αi\alpha_i. You have a few positive examples that are certainly labelled correctly and many negatives, some of them mislabelled. Positives must never violate the margin, while negatives may. Which bounds implement this?

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