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Compensating for Bias in the SDM Fast Activation Mechanism
Number of Authors: 1
1996 (English)Report (Refereed)
Abstract [en]

The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory with a huge address space. The physical memory consists of substantially fewer locations than the virtual address space. The plain Kanerva SDM memory assumes address and data to be random bit vectors with equal probability for 0 and 1. To compensate for any bias in address or data, several more or less elaborate methods can be used. In this paper we describe one simple method for achieving this compensation within the framework of the ``Fast activation Mechanism'' for SDM.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 1996, 1. , 5 p.
Series
SICS Research Report, ISSN 0283-3638 ; R96:04
Keyword [en]
SDM, sparse distributed memory, selected-coordinate design
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21409OAI: oai:DiVA.org:ri-21409DiVA: diva2:1041445
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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