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Features of distributed representations for tree-structures: A study of RAAM
Högskolan i Skövde, Institutionen för datavetenskap. (The Connectionist Research Group)
Högskolan i Skövde, Institutionen för datavetenskap. (The Connectionist Research Group)
1995 (engelsk)Rapport (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Skövde: University of Skövde , 1995. , s. 21
Serie
IDA Technical Reports ; HS-IDA-TR-95-001
HSV kategori
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URN: urn:nbn:se:his:diva-1183OAI: oai:DiVA.org:his-1183DiVA, id: diva2:2310
Merknad

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.

Tilgjengelig fra: 2008-06-17 Laget: 2008-06-17 Sist oppdatert: 2019-06-18bibliografisk kontrollert

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