Question: A Gaussian kernel SVM is trained on a data set using a very large gamma . The result is shown below: gamma.png Consider the

A Gaussian kernel SVM is trained on a data set using a very large
\gamma . The result is shown below:
gamma.png
Consider the point
(
)
x
(i)
labeled above. If the blue points have label 1, and the red points have label -1, what will be the learned weight
\alpha
i
corresponding to this data point, approximately?
You may assume that
\gamma is as large as you'd like.

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