Exploring Long-range Correlations for Text Classification Using a Sparse Distributed Memory
نویسندگان
چکیده
The present paper describes exploratory work in which a Sparse Distributed Memory (SDM) was applied as a text classifier. The SDM is a type of associative memory based on the properties of highdimensional spaces, where data are stored based on pattern similarity. The results obtained with the SDM are surprisingly good, for they can be achieved with little or none pre-processing. They are far superior to the performance of a “dumb classifier,” though still inferior to the results obtained with other mod-
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