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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2883999/ https://ncbi.nlm.nih.gov/pubmed/20552013 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0010955 |
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