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Features of distributed representations for tree-structures: A study of RAAM
University of Skövde, Department of Computer Science. (The Connectionist Research Group)
University of Skövde, Department of Computer Science. (The Connectionist Research Group)
1995 (English)Report (Other academic)
Abstract [en]

This paper presents an in-depth analysis of properties of patterns, generated by the Recursive Auto-Associative Memory, based on the idea that representational features can be detected by a classification network. The intension of this analysis is to examine the actual reasons for the success of connectionist processes acting on super-positional activity vectors generated in the fashion described. We show that the structure supplied during training is maintained and is extractable from the generated pattern. Further, we show that the influence of the actual constituents in the structures supplied during training is not necessarily available, in the generated patterns, for holistic processing. The outlook for holistic processing is therefore limited unless new forms can be found which take into account, what Sharkey and Jackson call, `whole net' representations.

Place, publisher, year, edition, pages
Skövde: University of Skövde , 1995. , p. 21
Series
IDA Technical Reports ; HS-IDA-TR-95-001
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-1183OAI: oai:DiVA.org:his-1183DiVA, id: diva2:2310
Note

HS-IDA-TR-95-001 Presented at the 2nd Swedish Conference on Connectionism. Published in Current Trends in Connectionism, Niklasson and Bodén (eds.), Lawrence Erlbaum Associates, 1995.

Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2019-06-18Bibliographically approved

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Niklasson, Lars

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  • apa
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