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Efficient Evaluation of Large Abstractions for Decoupled Search: Merge-and-Shrink and Symbolic Pattern Databases
Gnad, Daniel
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.
ORCID iD:
0000-0001-7434-2669
Sievers, Silvan
University of Basel.
Torralba, Alvaro
Aalborg University.
2023 (English)
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2023.
Keywords [en]
WASP
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:liu:diva-198697
OAI: oai:DiVA.org:liu-198697
DiVA, id:
diva2:1806677
Conference
ICAPS
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Available from:
2023-10-23
Created:
2023-10-23
Last updated:
2023-10-23
Open Access in DiVA
No full text in DiVA
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https://ojs.aaai.org/index.php/ICAPS/article/view/27188/26961
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Gnad, Daniel
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http://liu.diva-portal.org/smash/record.jsf?pid=diva2:1806677
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
oxford
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apa
ieee
modern-language-association-8th-edition
vancouver
oxford
Other style
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Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
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text
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rtf
html
text
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