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Minimize ( llwl + cE 5 , ) Subject to: y , ( wl x , + b ) > = 1 - for i
Minimize llwl cE
Subject to: ywl xb
for i n
In the above SVM Soft Margin optimization, if we increase C then select all correct answers
We add more penalty on slack variables
We let the algorithm tolerate outliers
We resolve the problem of overfitting
We make it harder for the algorithm to make misclassifications
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