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- W4282572378 abstract "A new solution strategy for the problem of induction has been developed based on a priori advantages of regret-weighted meta-induction (RW) in prediction tasks. These a priori advantages seem to contradict the no-free lunch (NFL) theorem. In this paper, the NFL challenge is dissolved by three novel results: (1) RW enjoys free lunches in the long run. (2) Yet, the NFL theorem applies to iterated prediction tasks, because the distribution underlying it assigns a zero probability to all possible worlds in which RW enjoys free lunches. (3) The a priori advantages of RW can even be demonstrated for the short run." @default.
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- W4282572378 date "2022-06-12" @default.
- W4282572378 modified "2023-10-18" @default.
- W4282572378 title "Escaping the No Free Lunch Theorem: A Priori Advantages of Regret-Based Meta-Induction" @default.
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- W4282572378 doi "https://doi.org/10.1080/0952813x.2022.2080278" @default.
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