Two approximations to learning from examples

We investigate the learning of a rule from examples of the case of boolean perceptron. Previous studies of this problem have been made using the full quenched theory. We consider here two alternative approaches that can be applied easily. the two-replicas interactions approach considerably improves upon the well-known first-order approach. The mean field approach proved some results that have been obtained previously using the complex full quenched theory. Both approximations have been applied to both continuous weights and discrete weights perceptron.

Enregistré dans:
Détails bibliographiques
Auteur principal: Diambra,L.
Format: Digital revista
Langue:English
Publié: Sociedade Brasileira de Física 1998
Accès en ligne:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97331998000400020
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!