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Efficient Evaluation of Large Abstractions for Decoupled Search: Merge-and-Shrink and Symbolic Pattern Databases
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
University of Basel.
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-198697OAI: oai:DiVA.org:liu-198697DiVA, 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

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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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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
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Language
  • de-DE
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  • en-US
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Output format
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