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Retarded learning: rigorous results from statistical mechanics.

Abstract

We study learning of probability distributions characterized by an unknown symmetry direction. Based on an entropic performance measure and the variational method of statistical mechanics we develop exact upper and lower bounds on the scaled critical number of examples below which learning of the direction is impossible. The asymptotic tightness of the bounds suggests an asymptotically optimal method for learning nonsmooth distributions.

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BibTeXRIS

D Herschkowitz, M Opper. 2001-03-05. Retarded learning: rigorous results from statistical mechanics.. https://doi.org/10.1103/physrevlett.86.2174

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