DocumentCode :
2351376
Title :
A general approach for density estimation in the n-dimensional Boolean space
Author :
Braga, A.P. ; Costa, M.A.
Author_Institution :
Dept. Engenharia Eletronica, Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
fYear :
1998
fDate :
9-11 Dec 1998
Firstpage :
161
Lastpage :
164
Abstract :
Kanerva (1988) presented a model to estimate the intersection of two circles, or hyperspheres, in the n-dimensional Boolean space. The results were applied to show the properties of the sparse distributed memory model. Braga and Aleksander (1994) presented a more general model that is able to estimate any density in the Boolean space and is not restricted to the intersection problem. In both previous works, the densities are calculated in relation to two fixed points in the space. It is shown that the previous work of Braga and Aleksander can be extended to estimate densities in relation to more than two fixed points. With these results, intersections of three or more hyperspheres can be estimated. The results can be applied to provide a more accurate study of the properties of Boolean associative memories
Keywords :
Gaussian distribution; content-addressable storage; distributed memory systems; estimation theory; Boolean associative memories; density estimation; n-dimensional Boolean space; sparse distributed memory model; Associative memory; Decoding; Density functional theory; Equations; Gaussian distribution; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
Type :
conf
DOI :
10.1109/SBRN.1998.731017
Filename :
731017
Link To Document :
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