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Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
KU Leuven, Leuven, Belgium.
KU Leuven, Leuven, Belgium.
KU Leuven, Leuven, Belgium.ORCID iD: 0000-0002-6860-6303
2019 (English)In: Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2019, Vol. 33:1, p. 7825-7833Conference paper, Published paper (Refereed)
Abstract [en]

Weighted model counting has recently been extended to weighted model integration, which can be used to solve hybrid probabilistic reasoning problems. Such problems involve both discrete and continuous probability distributions. We show how standard knowledge compilation techniques (to SDDs and d-DNNFs) apply to weighted model integration, and use it in two novel solvers, one exact and one approximate solver. Furthermore, we extend the class of employable weight functions to actual probability density functions instead of mere polynomial weight functions.

Place, publisher, year, edition, pages
AAAI Press, 2019. Vol. 33:1, p. 7825-7833
Series
Proceedings of the AAAI Conference on Artificial Intelligence, ISSN 2159-5399, E-ISSN 2374-3468 ; 33:1
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:oru:diva-87344DOI: 10.1609/aaai.v33i01.33017825ISI: 000486572502044ISBN: 978-1-57735-809-1 (print)OAI: oai:DiVA.org:oru-87344DiVA, id: diva2:1500195
Conference
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, January 27 - February 1, 2019
Note

Funding Agencies:

FWO G0D7215N

European Research Council (ERC) ERC-AdG-694980

H2020 CHIST-ERA 

Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2020-11-16Bibliographically approved

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De Raedt, Luc

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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