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Training a linear separating hyperplane

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Consider training a linear separating hyperplane in a 2-dimensional space(i.e., to find a line(1) find5%(2) that separates two classes), an upper bound on the number of training examples sufficient to assure with 90% confidence that the learned line will have true error of at most does this bound seem realistic?

Reference no: EM132674276

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