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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 onedimensional linear classifiers that are only based on the ith 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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