Learning and generalization theories of large committee--machines

Details Learning and generalization theories of large committee--machines Learning and generalization theories of large committee--machines

1996-01-25

arxiv.org/abs/cond-mat/9601122v1

Physics

Condensed Matter

14 pages, revtex

Scientific paper

The study of the distribution of volumes associated to the internal
representations of learning examples allows us to derive the critical learning
capacity ($\alpha_c=\frac{16}{\pi} \sqrt{\ln K}$) of large committee machines,
to verify the stability of the solution in the limit of a large number $K$ of
hidden units and to find a Bayesian generalization cross--over at $\alpha=K$.

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