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- Jacobsson, HenrikHögskolan i Skövde,Institutionen för kommunikation och information (author)
Reducing Complexity of Rule Extraction from Prediction RNNs trough Domain Interaction
- BookEnglish2003
Publisher, publication year, extent ...
- Skövde :Institutionen för kommunikation och information,2003
- 8 s.
- electronicrdacarrier
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- LIBRIS-ID:oai:DiVA.org:his-1267
- https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1267URI
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- Language:English
- Summary in:English
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- IKI Technical Reports ;HS-IDA-TR-03-007
Notes
- This paper presents a quantitative investigation of the differences between rule extraction through breadth first search and through sampling the states of the RNN in interaction with its domain. We show that for an RNN trained to predict symbol sequences in formal grammar domains, the breadth first search is especially inefficient for languages sharing properties with realistic real world domains. We also identify some important research issues, needed to be resolved to ensure further development in the field of rule extraction from RNNs.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Systemvetenskap, informationssystem och informatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Information Systems hsv//eng
- Computer and systems science
- Data- och systemvetenskap
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- Ziemke, TomHögskolan i Skövde,Institutionen för kommunikation och information(Swepub:his)ziet (author)
- Högskolan i SkövdeInstitutionen för kommunikation och information (creator_code:org_t)
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