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| Abstract |
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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| Keywords | falsifiability falsification generalization learning theory learnability Popper induction |
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2014-12-20
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140 ( #82,311 of 2,498,570 )
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21 ( #40,975 of 2,498,570 )
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