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Distributional Clauses Particle Filter
Department of Computer Science, KU Leuven, Leuven, Belgium.
Tutorial services, Faculty of Engineering Science, KU Leuven, Leuven, Belgium.
Department of Computer Science, KU Leuven, Leuven, Belgium.ORCID iD: 0000-0002-6860-6303
2014 (English)In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III / [ed] Toon Calders; Floriana Esposito; Eyke Hüllermeier; Rosa Meo, Berlin: Springer Berlin/Heidelberg, 2014, Vol. 8726, p. 504-507Conference paper, Published paper (Refereed)
Abstract [en]

We review the Distributional Clauses Particle Filter (DCPF), a statistical relational framework for inference in hybrid domains overtime such as vision and robotics. Applications in these domains are challenging for statistical relational learning as they require dealing with continuous distributions and dynamics in real-time. The framework addresses these issues, it supports the online learning of parameters and it was tested in several tracking scenarios with good results.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2014. Vol. 8726, p. 504-507
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8726
Keywords [en]
statistical relational learning, probabilistic programming, particle filters, sequential monte carlo, tracking
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:oru:diva-91920DOI: 10.1007/978-3-662-44845-8_45Scopus ID: 2-s2.0-84907010597ISBN: 9783662448458 (electronic)ISBN: 9783662448441 (print)OAI: oai:DiVA.org:oru-91920DiVA, id: diva2:1556850
Conference
European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, September 15-19, 2014
Available from: 2021-05-24 Created: 2021-05-24 Last updated: 2021-05-24Bibliographically approved

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De Raedt, Luc

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CiteExportLink to record
Permanent link

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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
  • rtf