Empirical Studies of Neighborhood Shapes in the Massively Parallel Diffusion Model

Authors:
Sven E. Eklund
Affiliations:
-
Venue:
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2002

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Abstract

In this paper we empirically determine the settings of the most important parameters for the parallel diffusion model. These parameters are the selection algorithm, the neighbourhood shape and the neighbourhood size.