A novel episodic associative memory model for enhanced classification accuracy
| Data(s) |
15/07/2007
|
|---|---|
| Resumo |
A novel approach to Episodic Associative Memory (EAM), known as Episodic Associative Memory with a Neighborhood Effect (EAMwNE) is presented in this paper. It overcomes the representation limitations of existing episodic memory models and increases the potential for their use in practical application.<br /> |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Elsevier BV |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30007653/smithmiles-anovel-2007.pdf http://dx.doi.org/10.1016/j.patrec.2007.02.012 |
| Direitos |
2007, Elsevier B.V. |
| Palavras-Chave | #cognitive models #associative memory #single pass learning #online learning |
| Tipo |
Journal Article |
