Bayesian learning versus optimal learning

Mirta B Gordon and Arnaud Buhot

Physica A: Statistical Mechanics and its Applications, 1998, vol. 257, issue 1, 85-98

Abstract: We consider the optimal performance that may be reached in the problem of learning the symmetry-breaking direction of a cloud of P=αN points in a N-dimensional space. The performance is measured through the overlap Ropt between the true symmetry-breaking direction and the learnt one. Depending on the problem, the learning curves Ropt(α) may present discontinuities. We show that close to these, bayesian learning is not optimal.

Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:257:y:1998:i:1:p:85-98

DOI: 10.1016/S0378-4371(98)00130-7

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