It is sometimes suggested that in selecting a hypothesis on the basis of data, one should balance

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It is sometimes suggested that in selecting a hypothesis on the basis of data, one should balance the empirical error of hypotheses against their simplicity. Does statistical learning theory provide a critique of that suggestion?

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