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In this problem you are asked to apply the SVM learning algorithm with a linear kernel K(u, v) = u - v to the following

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In this problem you are asked to apply the SVM learning algorithm with a linear kernel K(u, v) = u - v to the following data set. (The number next to the example label is an index to the example in the data set.) Which example indexes correspond to the example data points that are possible support vectors of the linear SVM classifier? (Select all that apply.) 0 1 0 2 0 3 0 4 0 5

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