Learning and generalization theories of large committee--machines
| dc.creator | Monasson, Remi | |
| dc.creator | Zecchina, Riccardo | |
| dc.date | 1996-01-25 | |
| dc.date.accessioned | 2026-07-07T03:08:10Z | |
| dc.date.available | 2026-07-07T03:08:10Z | |
| dc.description | The study of the distribution of volumes associated to the internal representations of learning examples allows us to derive the critical learning capacity ($α_c=\frac{16}π \sqrt{\ln K}$) 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 $α=K$. | |
| dc.description | 14 pages, revtex | |
| dc.identifier | https://arxiv.org/abs/cond-mat/9601122 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/9601122 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/27452 | |
| dc.subject | Condensed Matter | |
| dc.title | Learning and generalization theories of large committee--machines | |
| dc.type | text |