Testing the number of parameters with multidimensional MLP
| dc.creator | Rynkiewicz, Joseph | |
| dc.date | 2008-02-21 | |
| dc.date.accessioned | 2026-07-07T09:22:31Z | |
| dc.date.available | 2026-07-07T09:22:31Z | |
| dc.description | This work concerns testing the number of parameters in one hidden layer multilayer perceptron (MLP). For this purpose we assume that we have identifiable models, up to a finite group of transformations on the weights, this is for example the case when the number of hidden units is know. In this framework, we show that we get a simple asymptotic distribution, if we use the logarithm of the determinant of the empirical error covariance matrix as cost function. | |
| dc.identifier | https://arxiv.org/abs/0802.3141 | |
| dc.identifier | http://arxiv.org/abs/0802.3141 | |
| dc.identifier | Dans ASMDA 2005 - ASMDA 2005, Brest : France (2005) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/155402 | |
| dc.subject | Statistics Theory | |
| dc.subject | Machine Learning | |
| dc.title | Testing the number of parameters with multidimensional MLP | |
| dc.type | text |