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math.ST updates on arXiv.org

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Falsifiable implies Learnable
David Balduzzi · 2014-08-28 · via math.ST updates on arXiv.org

The paper demonstrates that falsifiability is fundamental to learning. We prove the following theorem for statistical learning and sequential prediction: If a theory is falsifiable then it is learnable -- i.e. admits a strategy that predicts optimally. An analogous result is shown for universal induction.

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