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Let Hi be the space of all possible one - dimensional linear classifiers that are only based on the i - th feature ( just

Let Hi be the space of all possible one-dimensional linear classifiers that are only based on the i-th feature (just a single feature). Let Hsparse (union of Hi) be the space of all possible linear classifiers based on only one out of the d features. Derive a generalization bound for learning with Hsparse.

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