Increasing the Semantic Storage Density of Sparse Distributed Memory

被引：0
|
作者：
R. Vdovychenko
V. Tulchinsky
机构：
[1] V. M. Glushkov Institute of Cybernetics,
[2] National Academy of Sciences of Ukraine,undefined
来源：
Cybernetics and Systems Analysis | 2022年 / 58卷
关键词：
sparse distributed memory (SDM); compressive sensing (CS); associative memory; binary sparse distributed representations; neural networks; GPU;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The integration of the compressive sensing (CS) method in the sparse distributed memory (SDM) implementation is proposed for increasing the storage capacity for binary sparse distributed representations of semantics, particularly, in graphics processing units (GPUs).
引用
收藏
页码：331 / 342
页数：11
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