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- W2011101183 abstract "We derive the form and properties of the generalization error for a self-similar feedforward network (constructed through an iterative procedure of test set partitioning combined with majority voting). We discuss the universality of these results and conjecture that the generalization error rate ensuremath{epsilon}(ensuremath{alpha}) as a function of the amount of training ensuremath{alpha} never decreases faster than ensuremath{epsilon}(ensuremath{alpha})-1/2ensuremath{sim} ensuremath{surd}ensuremath{alpha} in the limit ensuremath{alpha}ensuremath{rightarrow}0. We show how the self-similar architecture can be used to improve the generalization performance." @default.
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- W2011101183 date "1993-10-11" @default.
- W2011101183 modified "2023-10-14" @default.
- W2011101183 title "Generalization error in a self-similar committee machine" @default.
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- W2011101183 doi "https://doi.org/10.1103/physrevlett.71.2355" @default.
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