Statistical Mechanics of Learning: A Variational Approach for Real Data

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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4 pages, 2 figures

Scientific paper

10.1103/PhysRevLett.89.108302

Using a variational technique, we generalize the statistical physics approach
of learning from random examples to make it applicable to real data. We
demonstrate the validity and relevance of our method by computing approximate
estimators for generalization errors that are based on training data alone.

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