Flexible kernel memory.

This paper introduces a new model of associative memory, capable of both binary and continuous-valued inputs. Based on kernel theory, the memory model is on one hand a generalization of Radial Basis Function networks and, on the other, is in feature space, analogous to a Hopfield network. Attractors...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Dimitri Nowicki, Hava Siegelmann
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2010
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/1df67ecceedb4f71842f5a9388e702b1
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