Using binary decision diagrams to efficient represent Alpha-Beta associative memories

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Lopez Yañez, Itzama	-
dc.contributor.author	Figueroa Nazuno, Jesus	-
dc.contributor.author	Yañez Marquez, Cornelio	-
dc.date.accessioned	2012-11-30T22:32:44Z	-
dc.date.available	2012-11-30T22:32:44Z	-
dc.date.issued	2006	-
dc.identifier.uri	http://www.repositoriodigital.ipn.mx/handle/123456789/8790	-
dc.description	Maestría en Ciencias de la Computación	es
dc.description.abstract	Binary Decision Diagrams have been successful forms to represent Boolean functions, and Asso-ciative Memories have been one of the most important models for pattern recognition, being the Alpha-Beta Associative Memories the best available model. In this paper we propose the use of Binary Decision Diagrams to represent Alpha-Beta associative memories. By doing so, we will be able to merge two important and very active areas of contemporary scientific research, improving the model and allowing it to be applied to fields in which it has found little interest by the scientific and industry community	es
dc.description.sponsorship	Instituto Politécnico Nacional. CIC	es
dc.language.iso	es	es
dc.publisher	Instituto Politécnico Nacional. Centro de Investigación en Computación	es
dc.subject	Pattern recognition systems	es
dc.title	Using binary decision diagrams to efficient represent Alpha-Beta associative memories	es
dc.type	Technical Report	es
dc.description.especialidad	Físico-Matemáticas	es
dc.description.tipo	PDF	es
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