Question: Please help answer the problem in the screenshot. Thanks! 5. Support Vectors: In the linearly separable case, prove that we need at most d+1 support
Please help answer the problem in the screenshot. Thanks!

5. Support Vectors: In the linearly separable case, prove that we need at most d+1 support vectors for a naive SVM, where d is the number of features. (Naive SVM means we use a hard-margin SVM with "linear" kernel.)
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